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If you’re like me, you probably use Google many times a day. But chances are unless you're a technology geek, you probably still use Google in its simplest form.

If your current use of Google is limited to typing in a few words and changing your query until you find what you’re looking for, I’m here to tell you that there’s a better way -- and it’s not hard to learn.

On the other hand, even if you are a technology geek and can use Google like the best of them already, I still suggest you bookmark this article of Google advanced search tips. Then, you’ll then have the tips on hand when you're ready to pull your hair out in frustration watching a neophyte repeatedly type in basic queries in a desperate attempt to find something.

The following Google advanced search tips are based on my own experience and things that I actually find useful. I’ve kept the descriptions of the search tips intentionally terse, as you’re likely to grasp most of these simply by looking at the example from Google anyway.

Here's an overview of some of the most useful Google search tricks. You'll be an expert Google search-er in no time.

31 Google Advanced Search Tips

1. Explicit Phrase

Let's say you're searching on Google for content about inbound marketing. Instead of just typing inbound marketing into the Google search box, you will likely be better off searching explicitly for the phrase. To do this, simply enclose the search phrase within double quotes.

Example Search: "inbound marketing"

2. Exclude Words

Let's say you want to search for content about inbound marketing, but you want to exclude any results that contain the term advertising. To do this, simply use the - sign in front of the word you want to exclude.

Example Search: inbound marketing -advertising

3. This OR That

By default, when you conduct a search, Google will include all the terms specified in the search. If you're looking for any one of one or more terms to match, then you can use the OR operator. (Note: The OR has to be capitalized).

Example Search: inbound marketing OR advertising

4. Words in the Text

If you want to find a webpage where all the terms you're searching for appear in the text of that page (but not necessarily beside each other), type in allintext:followed immediately by words or phrases.

Example Search: allintext:vermont ski house lake

5. Words in the Text + Title, URL etc.

If you want to find a webpage where one term appears in the text of that page and another term appears elsewhere on the page, like the title or URL, then type in that first term followed by intext: followed immediately by the other term.

Example Search: neil diamond intext:red sox

6. Words in the Title

Want to find a webpage with certain words contained in the title (but not necessarily beside each other)? Type in allintitle: followed immediately by words or phrases.

Example Search: allintitle:wine club

7. Words in the TItle + Text, URL, etc.

Want to find a webpage where one term appears in the title of that page and another term appears elsewhere on the page, like in the text or the URL? Type in that first term followed by intitle: immediately followed by the other term.

Example Search: flu shot intitle:advice

8. Words in the URL

If you want to find pages with your search query mentioned in the URL, type allinurl: immediately followed by your search query.

Example Search: allinurl:hubspot blog

9. How to Search Within a Website

Often, you want to search a specific website for content that matches a certain phrase. Even if the site doesn’t support a built-in search feature, you can use Google to search the site for your term. Simply use the site:somesite.commodifier. (Read this blog post to learn how to do this in more detail.)

Example Search: site:www.smallbusinesshub.com "inbound marketing"

10. Related Search

If you want to find new websites with similar content to a website you already know of, use the related:somesite.com modifier.

Example Search: related:visual.ly

related-google-search.png

11. A Page That Links to Another Page

Let's say you want to search for every website that cites a BuzzFeed article on their website. To do this, use the link: command, immediately followed by the name of a page. Google will give you all pages that link to BuzzFeed's official website. The more specific the URL is, the fewer, more pointed results you'll get.

Example Search: link:buzzfeed

12. Similar Words and Synonyms

Let’s say you want to include a word in your search, but also want to include results that contain similar words or synonyms. To do this, use the ~ in front of the word.

Example Search: "inbound marketing" ~professional

13. Word Definitions

If you need to quickly look up the definition of a word or phrase, simply use the define: command. You can listen to the word's pronunciation by pressing the megaphone icon.

Search Example: define:plethora

google-word-definitions.png

14. Missing Words

Ever forgotten a word or two from a specific phrase, song lyric, movie quote, or something else? You can use an asterisk* as a wildcard, which can help you find the missing word in a phrase.

Example Search: much * about nothing

15. News in a Specific Location

If you're looking for news related to a specific location, you can use the location: command to search Google News for stories coming from that location.

Search Example: star wars location:london

16. Specific Document Types

If you’re looking to find results that are of a specific type, you can use the modifier filetype:. For example, you might want to find only PowerPoint presentations related to inbound marketing.

Example Search: "inbound marketing" filetype:ppt

17. Translations

Want to translate a simple word or phrase from one language to another? No need to go to a translation website. Just search translate [word] to [language].

Example Search: translate krankenwagen to english

18. Phone Listing

Let’s say someone calls you on your mobile number, and you don’t know who it is. If all you have is a phone number, you can look it up on Google using the phonebook feature.

Example Search: phonebook:617-555-1212

(Note: The number in this example doesn't work. You’ll have to use a real number to get any results.)

19. Area Code Lookup

If all you need to do is to look up the area code for a phone number, just enter the three-digit area code and Google will tell you where it’s from.

Example Search: 617

20. Zip Code Lookup

If you need to look up the zip code for an address, simply search for the rest of the address, including town or city name and state, province, or country. It'll return results with an area code (if applicable),

Example Search: 25 First St., Cambridge, MA

21. Numeric Ranges

This is a rarely used but highly useful tip. Let’s say you want to find results that contain any of a range of numbers. You can do this by using the X..Y modifier (in case this is hard to read, what’s between the X and Y are two periods). This type of search is useful for years (as shown below), prices, or anywhere where you want to provide a series of numbers.

Example Search: president 1940..1950

22. Stock (Ticker Symbol)

Just enter a valid ticker symbol as your search term, and Google will give you the current financials and a quick thumbnail chart for the stock.

Example Search: GOOG

23. Calculator

The next time you need to do a quick calculation, instead of bringing up the Calculator applet, you can just type your expression into Google.

Search Example: 48512 * 1.02

24. Tip Calculator

Along with a normal calculator, Google has a built-in tip calculator. Just search tip calculator and you can adjust the bill, tip %, and number of people splitting it.

Search Example: tip calculator

google-tip-calculator.png

25. Timer

Don't have a timer handy? Google has you covered. Just type in an amount of time + the word "timer," and the countdown will begin automatically

Search Example:

google-timer.png

Search Example: 20 min timer

26. Stopwatch

Search "stopwatch" and it'll bring up a stopwatch for you to start when you're ready.

Search Example: stopwatch

27. Weather

Next time you're looking for quick weather stats or a forecast for a certain area, search for weather followed by a location. Google will give you both before the first search results.

Search Example: weather cambridge ma

weather-google-search.png

28. Sunrise & Sunset Times

If you're curious when the sun will rise and set that day at a specific location, do a simple Google search with the word sunrise or sunset along with the location name.

Search Example: sunrise acadia

29. Flight Statuses

If you type in the airline and airplane number into Google, it will tell you the flight information, status, and other helpful information.

Search Example: BA 181

google-flight-status.png

30. Sports Scores & Schedules

Want to know the latest sports scores and future schedules of your favorite teams or match-ups? Search a single team name or two team names and Google will use Google Sports to spit out scores and schedules before the first search results.

Search Example: manchester united

31. Comparing Food

Believe it or not, if you're ever curious how two types of (fairly generic) foods compare with one another, you can do a quick Google search to see how they differ in calories, fat, protein, cholesterol, sodium, potassium, and other nutrients.

 

Published in Search Engine

Google search data can be a very private thing. While Google itself may be intent on keeping a record of your keystrokes, you may have a number of reasons why you don’t want the site to maintain a memory of what you’ve typed into the search engine.

Fortunately, there’s an easy way to address that. Abhimanyu Ghoshal at The Next Web recently broke down a simple process for deleting your search history from the site. Using your Google account, log in to myactivity.google.com and look for “Delete Activity by” on the lefthand sidebar. You can customize a date range to scrub your history from “Search” in the drop-down menu.

Google also allows you to delete your history directly from the search page, provided you’re logged in to your Google account. Click on “Settings,” then find “Your Data in Search.” From there, you can head to myactivity.google.com, or use the toolbar to delete your history.

Note that these actions don’t erase your search history from your browser. On Chrome, you can wipe out that data by accessing “History” on the browser toolbar and selecting “Clear Browsing Data" along with a date range.

While these steps work for scrubbing search data, Google still accumulates a considerable amount of information through advertising, cell phone locations, calendar appointments, and other applications.

Source: This article was Published mentalfloss.com By JAKE ROSSEN

Published in Search Engine

Google is a behemoth in the search engine world. With its powerful algorithms, dominant advertising platform, and personalized user experience, Google is a force to be reckoned with.

That said, Google’s easy-to-use interface and personalized user experience comes at a cost.

It’s no secret the search engine giant catalogs the browsing habits of its users and shares that information with advertisers and other interested parties.

However, if you are unwilling to trade privacy for convenience, there are dozens of Google alternatives – many offering a better search experience.

Here are 14 search alternatives to Google.

1. Bing

Bing Search

Despite trailing Google by a wide margin in U.S. market share (24.2 percent vs. 63.2 percent), an argument can be made that Bing performs better in certain aspects.

For starters, Bing has a rewards program that allows one to accumulate points while searching. These points are redeemable at the Microsoft and Windows stores, which is a nice perk.

The Bing image search performs flawlessly across all browsers, whereas Google image search seems to be optimized just for Chrome.

In my view, the Bing image search GUI is superior to its rival’s and much more intuitive. Bing carries that same clean user experience to video, making it the “go to” source for video search without a YouTube bias.

2. DuckDuckGo

DuckDuckGo Search

If you’re looking for true privacy, DuckDuckGo is the search engine for you.

DuckDuckGo doesn’t collect or store any of your personal information. That means you can run your searches in peace without having to worry about the boogeyman watching you through your computer screen.

DuckDuckGo is the perfect choice for those who wish to keep their browsing habits and personal information private.

3. Wiki.com

Wiki.com Search

Looking for a search engine that pulls its results from thousands of wikis on the net? If so, Wiki.com is a good choice.

Wiki.com is the perfect search engine for those who appreciate community-led information as found on sites like Wikipedia.

4. Twitter

Twitter search

Twitter is hard to beat as a real-time search engine. It’s the perfect place to go for a minute by minute updates in the case of an emergency.

Google’s algorithm will catch up eventually, but nothing beats a Tweet in the heat of the moment.

5. CC Search

Creative Commons Search

CC Search should be your first stop on the hunt for many types of copyright-free content.

This search engine is perfect if you need music for a video, an image for a blog post, or anything else without worrying about an angry artist coming after you for ripping off their work.

The way CC Search works is simple – it draws in results from platforms such as Soundcloud, Wikimedia, and Flickr and displays results labeled as Creative Commons material.

6. Gibiru

Gibiru Search

Are you wearing a MAGA hat while reading this? If so, Gibiru may be the search engine you’ve been looking for.

According to their website, “Gibiru is the preferred Search Engine for Patriots.”

They claim their Search results are sourced from a modified Google algorithm, so users are able to query the information they seek without worrying about Google’s tracking activities.

Because Gibiru doesn’t install tracking cookies on your computer they purport to be faster than “NSA Search Engines.”

7. Internet Archive

Internet Archive Search

The Wayback Machine is great for researching old websites, but it’s so much more.

As the name implies, this search engine queries a massive collection of documented material, including millions of free videos, books, music, and software.

Essentially, Internet Archive is a vast online library where you can access just about anything you could imagine.

See Anyone's Real-Time Analytics
What will you do when you can lift the curtain on the internet? Insights you were never meant to see. Data that will change marketing forever.

8. Search Encrypt

Search Encrypt

Search Encrypt is a private search engine that uses local encryption to ensure your searches remain private.

It uses a combination of encryption methods that include Secure Sockets Layer encryption and AES-256 encryption.

When you input a query, Search Encrypt will pull the results from its network of search partners and deliver the requested information.

One of the best parts of Search Encrypt is that your search terms will eventually expire, so your information will remain private even if someone has local access to your computer.

9. Yandex

Yandex search

Looking for a search perspective outside of the United States?

Yandex is the most popular search engine in Russia, which is used by more than 53 percent of Russian Internet users. It is also used in Belarus, Kazakhstan, Turkey, and Ukraine.

Yandex is an overall easy-to-use search engine. As an added bonus, it offers a suite of some pretty cool tools.

For example, if you use its cloud storage service, Yandex Disk, you can search for your personal files right from the search bar of the search engine!

10. StartPage

StartPage search

StartPage was developed to include results from Google, making it perfect for those who prefer Google’s search results without having to worry about their information being tracked and stored.

It also includes a URL generator, a proxy service, and HTTPS support. The URL generator is especially useful because it eliminates the need to collect cookies. Instead, it remembers your settings in a way that promotes privacy.

11. Swisscows

Swisscows

Swisscows is one of the more unique options on this list, billing itself as a family-friendly semantic search engine.

It uses artificial intelligence to determine the context of a user’s query. Over time, Swisscows promises to answer your questions with surprising accuracy.

12. Boardreader

Boardreader Search

If you’re interested in finding a forum or message board about a specific subject, Boardreader should be the first place you turn to.

This search engine queries its results from a wide variety of message boards and forums online. You should be able to find the forum you want with just a few keystrokes.

13. SlideShare

SlideShare Search

This unique search engine allows you to search for documented slideshow presentations.

You can also search for ebooks and PDFs, making it an excellent tool if you have a business presentation to prepare for.

SlideShare also allows you to save slides and even download the entire slideshow for use on your local computer.

14. Ecosia

Ecosia Search

Looking to save the planet, one tree at a time? Then check out this environmentally friendly search engine!

This may come as a surprise, but your Google searches actually contribute to the creation of quite a bit of CO2.

To battle this issue, Ecosia uses the revenues generated from search engine queries to plant trees. Typically Ecosia needs around 45 searches to plant a new tree.

Bottom Line

Google may be the most popular choice in search engines, but you still have a multitude of alternatives to use.

Many of these alternative search engines provide a better user experience and superior information to Google.

Whether you’re looking for more privacy or simply want to explore your options, there are plenty of search engines to experiment with. So what are you waiting for?

Source: This article was Published searchenginejournal.com By Chuck Price

Published in Search Engine

Google's Project Dragonfly was a secret prototype search engine intended to pave the way for the company's return to China; it featured censored search results that complied with Chinese state rules banning searches for topics like "human rights," "student protest" and "Nobel prize."

Leaked details of Dragonfly, reported in The Intercept, paint a picture of a search tool that doesn't merely limit access to information, but also assists Chinese state agents in retaliating against people who sought access to banned information.

In particular, Dragonfly logged each search and associated it with the user's phone number.

Dragonfly was also reportedly built to help the Chinese authorities falsify pollution data by substituting official numbers for observations made by disinterested parties. Pollution is a fraught political topic in China, with citizens frequently upset over the state's failure to keep their air breathable. The Chinese government has a history of falsifying pollution data and suppressing independent figures.

Sources familiar with the project said that prototypes of the search engine linked the search app on a user’s Android smartphone with their phone number. This means individual people’s searches could be easily tracked – and any user seeking out information banned by the government could potentially be at risk of interrogation or detention if security agencies were to obtain the search records from Google.

“This is very problematic from a privacy point of view, because it would allow far more detailed tracking and profiling of people’s behavior,” said Cynthia Wong, senior internet researcher with Human Rights Watch. “Linking searches to a phone number would make it much harder for people to avoid the kind of overreaching government surveillance that is pervasive in China.”

Source: This article was Published boingboing.net

Published in Search Engine

Think of online privacy as a race.

With consumers increasingly focused on how their data and web personas are used by eCommerce and other digital organizations, regulators and lawmakers are moving to get ahead of that political and cultural wave. Payments, commerce, and tech companies, meanwhile, are trying to stay a step ahead of regulators and lawmakers, and tweak or refashion their brands and reputations so they can boast about privacy protections and reduce the risk of losing profit as customers rethink their loyalties.

DuckDuckGo, the no-tracking search engine with a name that reflects a childhood play activity, intends to make the most of the ongoing privacy backlash from consumers. It has raised $10 million in fresh capital — only the second funding round for the 10-year-old, Pennsylvania-based operation —  and has plans to better promote itself to a global audience, while also offering other privacy-protection technology.

It seems foolish to even fantasize about the search engine ever catching up with Google. However, in a new PYMNTS interview, DuckDuckGo Founder Gabriel Weinberg said that, in the coming year, it could end up accounting for a double-digit chunk of search activity.

Optimistic View

His optimism stemmed in large part from the search’s engine growth: Use is up at least 50 percent over the last couple of years, with more than 5.8 billion direct search queries in total so far in 2018, compared with nearly 6 billion for all of 2017. The site’s daily direct traffic averages about 26.2 million. The United States stands as the largest source of DuckDuckGo traffic, followed by such countries as France, Germany, and Canada.

Of course, Google has numbers that dwarf that: about 3.5 billion searches per day. Though DuckDuckGo does not engage in tracking the behavior and habits of consumers online, it does make its money via ad offerings based on the keywords entered by users when searching for something — just as Google does. A consumer on either search engine might type in “car insurance,” for instance, resulting in relevant ads being served up, which in turn can result in revenue for that search engine.

The difference is that DuckDuckGo stops there — it does not sell search data to third parties for advertising (which, of course, cuts out a lucrative source of revenue). The search engine does not store users’ search histories, either.

That limit stands as a big part of the search engine’s appeal in these privacy-sensitive times, according to Weinberg. The search engine, its results compiled from more than 400 sources and its own web crawler, earns revenue from serving ads via the YahooBing network and affiliate relationships with such eCommerce operators as Amazon and eBay. For each user who buys a product that originates with certain DuckDuckGo searches, the site earns a commission on that transaction.

“We are definitely small,” he said, acknowledging the obvious. However, the company turns a profit and has yet to do any major marketing. So far, DuckDuckGo has benefited from word of mouth, essays, blog postings and question-and-answer content published and distributed on Quora and social media sites, he said.

New Funding

The new capital, from OMERS Ventures, a Canadian pension fund, will enable DuckDuckGo to beef up its marketing, among other areas. “We’re not sure what kind of marketing yet,” Weinberg said. “We’re running different kinds of experiments to figure out what works the best.”

DuckDuckGo last raised capital in 2011 — $3 million in seed funding. Since then, the digital landscape has significantly changed, which attracted OMERS. “Issues of privacy and security in the digital world have become increasingly topical and controversial,” the firm said in explaining its investment. “In 2018, these concerns have risen to the forefront of public consciousness. Users are becoming more aware of their personal data and are increasingly concerned with protecting it.”

DuckDuckGo aims to go beyond online searches in further building its pro-privacy brand. It recently launched what OMERS called “a mobile browser and desktop browser extension to their product mix; these products include built-in tracker blocking and smarter encryption.”

Facebook Example

Recent data and consumer trends support that path, Weinberg told PYMNTS. Like others in the space focusing on privacy (or worried about the consumer backlash), he used Facebook as an example.

For those who’ve enjoyed the luxury of a news-light summer away from digital leashes, the story goes like this: The social media platform needs to maintain — or even win back — the trust of consumers who were either shaken by the Cambridge Analytica data sharing scandal or are just increasingly wary of sharing too much information online with a massive corporation. In fact, Pew Research recently reported that 42 percent of Facebook users have taken a break from the platform during the past year, while 54 percent of those 18 and older have adjusted their privacy settings during that time frame. Additionally, 26 percent of U.S. adult consumers said they deleted the Facebook app from their smartphone.

“Awareness is really high,” Weinberg said about online privacy, adding that the company’s own surveys echo findings that a good chunk of consumers are having second thoughts about how their data is used by digital service providers. “People are trying to figure out how to protect themselves online.”

Figuring out answers is taking on an almost existential flavor in digital payments and commerce (which is to say, most of Western daily life). A recent discussion between PYMNTS’ Karen Webster and Sunil Madhu, founder of identity verification and fraud prevention services provider Socure, dug deep into those questions and featured a debate about how much Facebook really has to worry about and analysis of what makes a solid digital ID.

The consumer focus on privacy, and the ongoing backlash — demonstrated in part by Europe’s GDPR and other laws — is no flash in the pan, Weinberg said. This moment of privacy protection effort represents, perhaps, the best opportunity for DuckDuckGo — one that could propel it to capture 5 percent to 10 percent of searches, he said.

Historians will have to figure out and define the various phases of internet development and digital economy growth, and trying to anticipate what they will say is a fun game, but often ends up as a reckless intellectual endeavor. That said, the last few years — don’t forget the Edward Snowden NSA revelations, because Weinberg and other students of online privacy sure don’t — are shaping up as a turning point in how online consumers view privacy.

That will, no doubt, provide an opportunity for a host of businesses — not just DuckDuckGo.

Source: This article was Published pymnts.com
Published in Search Engine

Here's what some marketers are saying about the move to include same meaning queries in exact match close variants.

Marketer reactions to the news that Google is yet again degrading the original intent (much less meaning) of exact match to include “same meaning” close variants is ranging from pessimism to ho-hum to optimism.

Expected impact on performance

“The impact of this will probably be most felt by accounts where exact match has historically been successful and where an exact match of a query made a difference in conversions — hence the reason you’d use exact in the first place,” said digital consultant and President of Netptune MoonJulie Friedman Bacchini.

Friedman Bacchini said the loss of control with exact match defeats the match type’s purpose. Many marketers use exact match to be explicit — exacting — in their targeting and expect a match type called “exact” to be just that.

Brad Geddes, the co-founder of ad testing platform AdAlysis and head of consultancy Certified Knowledge, said one problem with expanding the queries that can trigger an exact match keyword is that past changes have shown it can affect the overall performance of exact match. “The last change meant that our ‘variation matches’ had worse conversion rates than our exact match and that we lowered bids on most exact match terms. This change might just drive us from using it completely, or really hitting the negative keywords.”

Like Geddes, Andy Taylor, associate director of research at performance agency Merkle, also said they saw an increase in traffic assigned as exact match close variants with the last change, “and those close variants generally convert at a lower rate than true exact matches.”

Yet, others who participated in the test see the loosening of the reigns as a positive action.

One of the beta testers for this change was ExtraSpace Storage, a self-storage company in the U.S. with locations in more than 40 states. The company says it saw positive results from the test.

“The search queries were relevant to our industry and almost all of our primary KPIs saw an overall improvement,” said Steph Christensen, senior analyst for paid search at ExtraSpace.

Christensen said that during the test they did not do any keyword management, letting it run in a “normal environment to give it the best chance to provide the truest results.” She says they will continue to watch performance and make adjustments as needed after it’s fully rolled out by the end of October.

Advertisers as machine learning beneficiaries or guinea pigs

A big driver of these changes, of course, is machine learning. The machine learning/artificial intelligence race is on among Google and the other big tech companies.

Google says its machine learning is now good enough to determine when a query has the same intent as a keyword with a high enough rate of success that advertisers will see an overall performance lift.

Another way to look at the move, though, is that by opening up exact match to include same meaning queries, Google gets the benefit of having marketers train its algorithms by taking action on query reports.

Or as Geddes, put it: “Advertisers are basically paying the fee for Google to try and learn intent.”

Geddes’ point is that this change will help Google’s machine learning algorithms improve understanding of intent across millions of queries through advertiser actions and budgets.

“The fact that Google doesn’t understand user intent coupled with how poor their machine learning has been at times, means we might just move completely away from exact match,” says Geddes.

Of the example Google highlighted in its announcement, Geddes says, “If I search for Yosemite camping; I might want a blog article, stories, social media, or a campground. If I search for a campground — I want a campground.” (As an aside, from what I’ve found it appears Google doesn’t even monetize “Yosemite camping” or “Yosemite campground” results pages that it used as examples.)

Expected workflow changes

One big thing Google has emphasized is that these close variants changes allow advertisers to focus on things other than building out giant keyword lists to get their ads to show for relevant queries. Rather than doing a lot of upfront keyword research before launching, the idea is that the management will happen after the campaign runs and accumulates data. Marketers will add negatives and new keywords as appropriate. But this reframing of the management process and what amounts to a new definition of exact match has marketers thinking anew about all match types.

“The further un-exacting of exact match has me looking at phrase match again,” says Friedman Bacchini. “I definitely see it impacting use of negatives and time involved to review SQRs and apply negatives properly and exhaustively”.

Taylor agrees. “This change places more importance on regularly checking for negatives, but that has already been engrained in our management processes for years and won’t be anything new.”

Geddes said that advertisers might come up against negative keyword limits, which he has seen happen on occasion. Rather than relying heavily on adding negatives, he says they may consider only using phrase match going forward.

In addition to having ads trigger for queries that aren’t relevant or don’t convert well, there’s the matter of having the right ad trigger for a query when you have close variants in an account already.

Matt van Wagner, president and founder of search marketing firm Find Me Faster, says the agency will be monitoring the impact before assessing workflow adjustments, but is not anticipating performance lifts.

“We’ll watch search queries and how, or if, traffic shifts from other ad groups as well as CPC levels. We expect this to have neutral impact at best,” says van Wagner, “since we believe we have our keywords set to trigger on searches with other match types.”

Along those lines, Geddes says it will be critical to watch for duplicate queries triggering keywords across an account to make sure the right ad displays. It puts new focus on negative keyword strategies, says Geddes:

Google will show the most specific matching keyword within a campaign; but won’t do it across the account. So if I have both terms in my account as exact match (“Yosemite camping” and “Yosemite campground”), with one a much higher bid than the other, my higher bid keyword will usually show over my actual exact match word in a different campaign. That means that I now need to also copy my exact match keywords from one campaign and make them exact match negatives in another campaigns that is already using exact match just to control ad serving and bidding. I should never have to do that.

Measuring impact can be challenging

The effects of the change will take some time to unfold. Taylor says it took several months to see the impact of the last change to exact match close variants.

It’s difficult to calculate the incremental effect of these changes to close variants, in part says Taylor, because some close variant traffic comes from keywords – close variants or other match types — that are already elsewhere in the account.

“Google gives a nod to this in its recent announcement, saying that ‘Early tests show that advertisers using mostly exact match keywords see 3 percent more exact match clicks and conversions on average, with most coming from queries they aren’t reaching today,’” Taylor highlights with bolding added.

Another complicating factor, particularly for agencies, is that the effects of these changes don’t play out uniformly across accounts. Taylor shares an example:

An advertiser saw traffic on one of its key brand keywords shift to a different brand keyword several months after the close variants change last year.

“The normal reaction might be to use negatives to get that traffic back over to the correct keyword, but we were getting a better CPC and still getting the same traffic volume with the new variation,.

It didn’t make much sense, especially given Google’s continued assertion even in the current announcement that ‘Google Ads will still prefer to use keywords identical to the search query,’ but if the clicks are cheaper, the clicks are cheaper. This also speaks to how there’s not really a universal response to deploy for changes in close variants, aside from being mindful of what queries are coming in and how they’re performing.”

Looking ahead

Performance advertisers go where they get the best results.

“At the end of the day, the question is if poorer converting close variant queries might pull keyword performance down enough to force advertisers to pull back on bids and reduce overall investment,” said Taylor. “Generally speaking, giving sophisticated advertisers greater control to set the appropriate bids for each query (or any other segment) allows for more efficient allocation of spend, which should maximize overall investment in paid search.”

Geddes says their “priority is to make sure our Bing Ads budgets are maxed and that we’re not leaving anything on the table there. If our [Google] results get worse, we’ll also move some budgets to other places. But this might be one where we really have to do another account organization just to get around Google’s decisions.”

After the change has fully rolled out and they have enough data to act on, ExtraSpace’s Christensen said they will evaluate again. “Since we have such a large [account] build, when we do decide to make any changes we will have to show how we can do this at scale and maintain performance.”

Bacchini calls attention to the current misnomer of exact match and said Google should get rid of exact match altogether if it’s going to take away the original control of exact match. “It is particularly sneaky when you think of this move in terms of less sophisticated advertisers,” said Bacchini. “If they did not click on the ‘Learn More’ link below the formatting for entering in match types for keywords, how exactly would they know that Google Ads does not really mean exact?”

Source: This article was Published searchengineland.com By Ginny Marvin

Published in Search Engine

Reverse image search is a technique wherein it allows people to retrieve content that is relevant to a particular image. It is also known as content-based image retrieval a method that eliminates the need for a user to identify keywords that may or may not provide an accurate result. The user only needs to supply the sample image to make a search or query.

We know that Google images can provide us with any photo, but we need to write the keyword or the terms associated with it to be able to proceed with the search. While using a reverse image search tool we will just provide a sample image. It is helpful in locating the source of an image or the content creator, search for the image in terms of popularity, extract details that are related to an image, look for similar images that have higher resolution, locate the web pages where the photo is displayed, and look for manipulated versions of the image.

If you are into social media and you want to find if a person’s account is legit, you can use a reverse image search tool for this purpose. You only have to supply the photo of the person, and it will show you the information that you need to check if the account is legit or not. Verifying account using a reverse image search tool can save you the trouble of being connected with an impostor or scammer. At present, many people are using fake accounts that is why you must be cautious and check the profile of the person first before adding them.

Photographers spend a great deal of money to buy their equipment and to attend workshops. They also exert a lot of time and effort in their craft to be able to produce quality and beautiful pictures that is why it is only right that they get the proper compensation for their work. They can use the reverse image search tool to discover if someone is using their pictures without their permission. By not giving credits to the owner, one can be accused of false ownership.

Whether it is for personal or public use, it should always be a practice to attribute the source of an image. To be able to get the information that you need, you can use a reverse image search from SmallSEOTools.com. This specific website offers many helpful tools that anybody can use online. One of the most popular tools from Small SEO Tools is the reverse image search because it is simple and easy to use. All you have to do is to upload an image or paste the URL where the image is located, and then it will give you the results in a flash. It will show you similar images and their sources.

Also, if you want to get any information about a particular image like a famous person, place or product you can run it through a reverse image search tool. It can help you save a lot of time looking for answers if you want to know more about the photo. You don’t have to go through an intensive research by typing different keywords to get the information that you need from the image.

There are many reverse image search tools on the internet today, but the one that I always use is from SmallSEOTools because it is user-friendly and gives me the results that I need in just a few seconds. Not to mention that this online reverse image search tool is readily available and can be used free of charge.

 Source: This article was Published techworm.net By Payel Dutta

Published in Search Engine

Did you ever need data on a topic you wanted to research, and had a hard time finding it? Wish you could just Google it? Well, now you can do that.

With data science and analytics on the rise and underway to being democratized, the importance of being able to find the right data to investigate hypotheses and derive insights is paramount

What used to be the realm of researchers and geeks is now the bread and butter of an ever-growing array of professionals, organizations, and tools, not to mention self-service enthusiasts.

Even for the most well-organized and data-rich out there, there comes a time when you need to utilize data from sources other than your own. Weather and environmental data is the archetypal example.

Suppose you want to correlate farming data with weather phenomena to predict crops, or you want to research the effect of weather on a phenomenon taking place throughout a historical period. That kind of historical weather data, almost impossible for any single organization to accumulate and curate, is very likely to be readily available by the likes of NOAA and NASA.

Those organizations curate and publish their data on a regular basis through dedicated data portals. So, if you need their data on a regular basis, you are probably familiar with the process of locating the data via those portals. Still, you will have to look at both NOAA and NASA, and potentially other sources, too.

And it gets worse if you don't just need weather data. You have to locate the right sources, and then the right data at those sources. Wouldn't it be much easier if you could just use one search interface and just find everything out there, just like when you Google something on the web? It sure would, and now you can just Google your data, too.

That did not come about out of the blue. Google's love affair with structured data and semantics has been an ongoing one. Some landmarks on this path have been the incorporation of Google's knowledge graph via the acquisition of Metaweb, and support for structured metadata via schema.org.

Anyone doing SEO will tell you just how this has transformed the quality of Google's search and the options content publishers now have available. The ability to markup content using schema.org vocabulary, apart from making possible things such as viewing ratings and the like in web search results, is the closest we have to a mass-scale web of data.

This is exactly how it works for dataset discovery, as well. In a research note published in early 2017 by Google's Natasha Noy and Dan Brickley, who also happen to be among the semantic web community's most prominent members, the development was outlined. The challenges were laid out, and a call to action was issued. The key element is, once more, schema.org.

schemaorgattributes.png 

Schema.org plays a big part in Google's search, and it's also behind the newly added support for dataset search. (Image: Go Live UK)

Schema.org is a controlled vocabulary that describes entities in the real world and their properties. When something described in schema.org is used to annotate content on the web, it lets search engines know what that content is, as well as its properties. So what happened here is that Google turned on support for dataset entities in schema.org, officially available as of today.

The first step was to make it easier to discover tabular data in search, which uses this same metadata along with the linked tabular data to provide answers to queries directly in the search results. This has been available for a while, and now full support for dataset indexing is here.

But is there anything out there to be discovered? How was Google's open call to dataset providers received? ZDNet had a Q&A with Natasha Noy from Google Research about this:

"We were pleasantly surprised by the reception that our call to action found. Perhaps, because we have many examples of other verticals at Google using the schema.org markup (think of jobs, events, and recipes), people trusted that providing this information would be useful.

Furthermore, because the standard is open and used by other companies, we know that many felt that they are doing it because it is 'the right thing to do.' While we reached out to a number of partners to encourage them to provide the markup, we were surprised to find schema.org/dataset on hundreds, if not thousands, of sites.

So, at launch, we already have millions of datasets, although we estimate it is only a fraction of what is out there. Most just marked up their data without ever letting us know."

NOAA's CDO, Ed Kearns, for example, is a strong supporter of this project and helped NOAA make many of its datasets searchable in this tool. "This type of search has long been the dream for many researchers in the open data and science communities," he said. "And for NOAA, whose mission includes the sharing of our data with others, this tool is key to making our data more accessible to an even wider community of users."

Under the hood

In other words, it's quite likely you may find what you are looking for already, and it will be increasingly likely going forward. You can already find data from NASA and NOAA, as well as from academic repositories such as Harvard's Dataverse and Inter-university Consortium for Political and Social Research (ICPSR), and data provided by news organizations, such as ProPublica.

But there are a few gotchas here, as datasets are different from regular web content that you -- and Google -- can read.

To begin with, what exactly is a dataset? Is a single table a dataset? What about a collection of related tables? What about a protein sequence? A set of images? An API that provides access to data? That was challenge No. 1 set out in Google's research note.

Those fundamental questions -- "what is topic X" and "what is the scope of the system" -- are faced by any vocabulary curator and system architect respectively, and Noy said they decided to take a shortcut rather than get lost in semantics:

"We are basically treating anything that data providers call a dataset by marking schema.org/dataset as a dataset. What constitutes a dataset varies widely by discipline and at this point, we found it useful to be open-minded about the definition."

That is a pragmatic way to deal with the question, but what are its implications? Google has developed guidelines for dataset providers to describe their data, but what happens if a publisher mis-characterizes content as being a dataset? Will Google be able to tell it's not a dataset and not list it as such, or at least penalize its ranking?

Noy said this is the case: "While the process is not fool-proof, we hope to improve as we gain more experience once users start using the tool. We work very hard to improve the quality of our results."

google-data-tech-analytics2-ss-1920.jpg

Google and data has always gone hand in hand. Now Google takes things further, by letting you search for data.

Speaking of ranking, how do you actually rank datasets? For documents, it's a combination of content (frequency and position of keywords and other such metrics) and network (authority of the source, links, etc). But what would apply to datasets? And, crucially, how would it even apply?

"We use a combination of web ranking for the pages where datasets come from (which, in turn, uses a variety of signals) and combine it with dataset-specific signals such as quality of metadata, citations, etc," Noy said.

So, it seems dataset content is not really inspected at this point. Besides the fact that this is an open challenge, there is another reason: Not all datasets discovered will be open, and therefore available for inspection.

"The metadata needs to be open, the dataset itself does not need to be. For an analogy, think of a search you do on Google Scholar: It may well take you to a publisher's website where the article is behind a paywall. Our goal is to help users discover where the data is and then access it directly from the provider," Noy said.

First research, then the world?

And what about the rest of the challenges laid out early on in this effort, and the way forward? Noy noted that while they started addressing some, the challenges in that note set a long-term agenda. Hopefully, she added, this work is the first step in that direction.

Identifying datasets, relating them, and propagating metadata among them was a related set of challenges. "You will see", Noy said, "that for many datasets, we list multiple repositories -- this information comes from a number of signals that we use to find replicas of the same dataset across repositories. We do not currently identify other relationships between datasets."

Indeed, when searching for a dataset, if it happens to be found in more than one locations, then all its instances will be listed. But there is also something else, uniquely applicable to datasets -- at least at first sight. A dataset can be related to a publication, as many datasets come from scientific work. A publication may also come with the dataset it produced, so is there a way of correlating those?

Noy said some initial steps were taken: "You will see that if a dataset directly corresponds to a publication, there is a link to the publication right next to the dataset name. We also give an approximate number of publications that reference the dataset. This is an area where we still need to do more research to understand when exactly a publication references a dataset."

pasted-image-0.png

Searching for datasets will retrieve not only multiple results for your query, but also multiple sources for each dataset. (Image: Google)

If you think about it, however, is this really only applicable to science? If you collect data from your sales pipeline and use them to derive insights and produce periodic reports, for example, isn't that conceptually similar to a scientific publication and its supporting dataset?

If data-driven decision making bears many similarities to the scientific process, and data discovery is a key part of this, could we perhaps see this as a first step of Google moving into this realm for commercial purposes as well?

When asked, Noy noted that Google sees scientists, researchers, data journalists, and others who are interested in working with data as the primary audience for this tool. She also added, however, that as Google's other recent initiatives indicate, Google sees these kinds of datasets becoming more prominent throughout Google products.

Either way, this is an important development for anyone interested in finding data out in the wild, and we expect Google to be moving the bar in data search in the coming period. First research, then the world?

Source: This article was Published zdnet.com By George Anadiotis

Published in Search Engine

VirusTotal, which is a product of Chronicle, a company created within Alphabet’s fabled “moonshot factory,” has been described as “Google for malware.”

Earlier this year, Google parent Alphabet unveiled a new, top-level company called Chronicle that would be dedicated to cybersecurity.

Initially created within X, Alphabet’s so-called “moonshot factory” unit, Chronicle has said that it’s developing a security analytics platform for corporate customers, harnessing the company’s strengths in search, artificial intelligence, raw computing, and data storage power. But Chronicle also includes an often-overlooked security product called VirusTotal, sometimes described as “Google for malware.”

Acquired by Google in 2012, the Malaga, Spain, based company was first created by cybersecurity developer Bernardo Quintero in 2004, who’s worked on antivirus technology since he was a teenager. Quintero’s earlier projects included a Spanish-language cybersecurity newsletter and a tool designed to defeat dial-up-era malware that ran up charges calling premium toll hotlines. VirusTotal enables anyone to upload a file they suspect may contain malware to have it scanned by dozens of antivirus tools from vendors like Symantec, TrendMicro, Kaspersky, and Avast.

“When I started [VirusTotal] there were eight or nine antivirus companies working in the first version of the service,” says Quintero.

Now, there are more than 70, and the tool can extract other metadata from files as well, whether it’s a photo or an executable program, studying the uploaded content in secure virtual cloud machines. Security experts can also use the platform to share information about potential new malware files.

“They can have fast access to the malware samples to improve their product,” Quintero says.

VirusTotal played a role in the analysis of the infamous Stuxnet worm, when it collected some of the first samples, and it’s been cited in commercial and academic security research, including recent work on cryptocurrency-stealing malware.

Since Alphabet’s acquisition, VirusTotal has been largely independently managed, but it’s been able to take advantage of the larger company’s cloud computing and search capabilities—some of the same strengths that Alphabet intends to leverage for its larger Chronicle efforts.

“We’ve increased search capabilities,” says Chronicle CEO Stephen Gillett. “We’ve invested a large amount of infrastructure to make scanning faster and better.”

More fundamentally, Alphabet has also helped VirusTotal, which prior to Chronicle’s debut was administratively part of the company’s internal cybersecurity unit, combat denial of service attacks that had threatened it as an independent platform.

“For us, it was a way to perfect our mission,” says Quintero.

VirusTotal Graph [Image: courtesy of VirusTotal]
VirusTotal has also added a data visualization component, called VirusTotal Graph, that can help suss out the relationships between malware files and the URLs and IP addresses that distribute them. And this year, it unveiled a feature called VirusTotal Monitor, which lets legitimate software makers upload their applications and information about them so participating antivirus companies can avoid mistakenly flagging them as malware. The innocuous software samples are stored in a secure, private cloud, and antivirus vendors are only given access to the data if their software begins to mistakenly flag the files as viruses.

Another feature, called VirusTotal Intelligence, lets security researchers sift through the set of uploaded files to find ones matching certain criteria. A bank, for example, could spot malware trying to interact with its websites.

Gillett declined to comment too extensively on plans for Chronicle’s next project, though he emphasized it would also take advantage of Alphabet’s strengths to help customers sift through vast quantities of security data.

“We should be able to help teams search and retrieve useful information and run analysis in minutes, rather than the hours or days it currently takes,” he wrote in a January blog post. “Storage—in far greater amounts and for far lower cost than organizations currently can get it—should help them see patterns that emerge from multiple data sources and over years.”

Chronicle isn’t Alphabet’s only high-profile security project—the company’s Jigsaw unit focuses on tools to make the world safer, including combating misinformation and radicalization, and Google’s Project Zero team has focused on spotting bugs in software before they can do harm. More recently, Alphabet has announced plans to help safeguard elections, including by helping keep Google accounts safe from unauthorized access.

Contributing to cybersecurity in a world where it’s often lacking is an important mission for the company, Gillett says.

“For Alphabet, and for me personally as the founder and CEO of Chronicle, I believe there’s no better moonshot for Alphabet to be going after,” he says.

 Source: This article was Publishedfastcompany.com By Steven Melendez

Published in Internet Privacy

Google has launched Dataset Search, a search engine for finding datasets on the internet. This search engine will be a companion of sorts to Google Scholar, the company’s popular search engine for academic studies and reports. Google Dataset Search will allow users to search through datasets across thousands of repositories on the Web whether it be on a publisher’s site, a digital library, or an author’s personal web page.

Google’s Dataset Search scrapes government databases, public sources, digital libraries, and personal websites to track down the datasets. It also supports multiple languages and will add support for even more soon. The initial release of Dataset Search will cover the environmental and social sciences, government data, and datasets from news organizations like ProPublica. It may soon expand to include more sources.

Google has developed certain guidelines for dataset providers to describe their data in a way that Google can better understand the content of their pages. Anybody who publishes data structured using schema.org markup or similar equivalents described by the W3C, will be traversed by this search engine. Google also mentioned that Data Search will improve as long as data publishers are willing to provide good metadata. If publishers use the open standards to describe their data, more users will find the data that they are looking for.

Natasha Noy, a research scientist at Google AI who helped create Dataset Search, says that “the aim is to unify the tens of thousands of different repositories for datasets online. We want to make that data discoverable, but keep it where it is.”

Ed Kearns, Chief Data Officer at NOAA, is a strong supporter of this project and helped NOAA make many of their datasets searchable in this tool. “This type of search has long been the dream for many researchers in the open data and science communities,” he said.

Source: This article was Published hub.packtpub.com By Sugandha Lahoti

Published in Search Engine
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