Displaying items by tag: Search Results - AIRS
Website Search
Research Papers
Articles
FAQs
Easy Profile - Search plugin
Courses & Exams
Pages
Specialized Search Engines
Events Calender
Upcoming Events

Google has published a set of guidelines for its quality raters to follow when evaluating voice search results. A similar set of guidelines exist for rating the results in Google Search, this marks the first time guidelines have been put in place for rating results returned by Google Assistant.

More specifically, this document deals with results returned by an eyes-free voice assistant such as Google Home. It does not refer to results delivered on a device with a screen, such as the Google Assistant smartphone app.

Therefore, it’s the quality of spoken results that are being reviewed. Results are evaluated with ‘needs met’ and ‘speech quality’ ratings.

Needs Met Rating

Spoken search results are evaluated based on the following ‘needs met’ scale:

  • Fully meets
  • Highly meets
  • Moderately meets
  • Slightly meets
  • Fails to meet

If a spoken response fully meets a user’s query it will receive a rating of “fully meets.” Ratings go down based on how much additional information would be needed to fully satisfy the query.

For example, if a user asks for the weekend forecast and the device responds with the current temperature, then needs would be moderate to slightly meet. The user received partial information but would have to conduct another search to get all of the information they’re looking for.

Of course, if the query is not answered at all, then it would receive a failing grade.

Speech Quality Rating

In addition to rating the accuracy of the response, answers are also rated based on the following elements of speech quality:

  • Length: Was the length of the response appropriate considering its complexity? Should it have been more concise or more detailed?
  • Formulation: Was the response grammatically correct? Did it sound like something a native speaking human would say?
  • Elocution: Was the pronunciation, intonation, and speed of the spoken response appropriate?

All three of these elements are rated individually for each response, which produces an overall rating for speech quality.

Here is an example of what a quality rater might see when evaluating a spoken result. In this screenshot, the quality rater is evaluating two responses side-by-side.

 

Published in How to

Google is at it again, now testing a new way for searchers to expand their queries in image search on mobile.

Google is testing a new “related searches” box in the mobile version of the Google Image search results page. Robin Rozhon spotted the change and posted a screen shot on Twitter of this new box. I cannot replicate the new user interface, but it does look like others are also seeing this test.

Here is what it looks like:

Google frequently tests new user interfaces, so we are not sure if this new one will stick or fade away over the next couple of weeks.

 Source: This article was published searchengineland.com By Barry Schwartz

Published in Search Engine

Reddit posts will appear in Bing's search results, and its data will be piped into Power BI for marketers to track brand-related comments.

Microsoft is bringing the self-proclaimed “front page of the internet” to the pages of its search results.

Microsoft has struck a deal with Reddit to pipe data from the social network into Bing’s search results, as well as Power BI’s analytics dashboard, the companies announced on Wednesday.

Now, when people search on Bing, posts published to Reddit may be included in the search results. For example, if a person’s query asks something like “what were the best video games released in 2017,” answers may be sourced from comments left in Reddit’s “gaming” subreddit or topic-specific forum.

People will also be able to use Bing to specifically search for content from Reddit. Typing “reddit [subreddit name]” will return a link to that subreddit and a selection of top comments that have been posted to it. And typing “reddit AMAs” will return a collection of popular AMA (“Ask Me Anything”) sessions, which are live question-and-answer forums that people can host on Reddit. Additionally, if people search for the name of a person who has a hosted an AMA on Reddit, a selection of responses from the Q&A session will appear among the non-Reddit results.

In addition to bringing Reddit’s data to Bing users, Microsoft is also opening that data up to brands. Brands will be able to access Reddit data through Microsoft’s Power BI analytics tool, with options to specify the keywords to track and toggle the time frames to examine. As a result, marketers will be able to monitor what people are saying about their brand or competing brands on Reddit and have that information processed using Power BI’s sentiment analysis feature and plotted into data visualizations.

The deal with Microsoft’s Power BI is similar to one that Reddit announced with social marketing platform Sprinklr last week in terms of accessing Reddit data. Brands will be able to see which subreddits they are mentioned on and then buy ads targeted those audiences.

Source: This article was published searchengineland.com By Tim Peterson

Published in Search Engine

HIGHLIGHTS

  • Google Search finds quality of newsy content algorithmically
  • Search results to omit fake news through improved ranking signals
  • India marks 2x growth in daily active search users on Google

Google Search already receive some artificial intelligence (AI) tweaks to enhance user experience. But with the swift growth of inferior-quality content, Google is now in the process of improving the quality of its search results. VP of Engineering Shashidhar Thakur on the sidelines of Google for India 2017 on Tuesday stated that Google is making continuous efforts to cut down on the amount of fake news content listed on its search engine.

"Whether it's in India or internationally, we make sure that we uphold a high bar when it comes to the quality of newsy content. Generally, in search, we find this type of content algorithmically," Thakur told Gadgets 360. The algorithms deployed behind Google Search look for the authoritativeness of the content and its quality to rank them appropriately. Thakur said that this continuous improvement will uplift the quality of the search results over time.

"We improve ranking signals on our search engine from time to time to overcome the issue of fake news. Signals help the system understand a query or the language of the query or the text or matching different keywords to provide relevant results," explained Thakur.

Similar to other search engines that use code-based bots to crawl different webpages, Google Search indexes hundreds of billions of webpages consistently. Once indexed, Google Search adds webpages to different entries that include all the words available on those pages. This data is then processed to the Knowledge Graph that not just looks for any particular keywords but also picks user interests to give relevant results.

Related...

"Inferior-quality content on the Web isn't a new and special problem," Thakur said. "But certainly, it is a problem that we need to solve by continuous tuning and making the underlying search algorithms better. This is indeed a very crucial area of focus for us."

Google isn't the only Web company that is taking the menace of fake news seriously. Facebook and Microsoft's Bing are also testing new developments to curb fake news. A recent report by Gartner predicted that fake news will grow multifold by 2022 and people in mature economies will consume more amount of false information over the information that is true and fair.

Having said that, Google is dominating the Web space and its search engine is the most prominent area for counterfeit content. Thakur at the Google for India stage revealed the number of daily active search users in India has grown two times in the last one year. The Mountain View, California-headquartered company also released Google Go as the lightweight version of the flagship Google app on Android devices.

 

Source: This article was published gadgets.ndtv.com By Jagmeet Singh

 

Published in Search Engine

Publishers and webmasters might not like this new feature Google is testing.

Google has started testing and potentially rolling out a new feature in search that shows a carousel with a list of answers directly within the search results snippets. It shows the main search result snippet, and below it, it shows a carousel of answers picked from the content on the page the snippet is linking to.

This comes in handy with forum-related threads where someone asks a question and multiple people give their answers. In addition, Google is labeling which answer is the “best” and shows that answer first in the search results.

Here is a picture from @glenngabe:

I suspect Google is picking the best answer from a label in the thread itself.

Of course, this can be a concern for those who run answer sites. Instead of a searcher clicking from Google’s search results to an answer site webpage, the searcher can quickly see a snippet or the full answer in these answer carousels.

 Source: This article was published searchengineland.com By Barry Schwartz

Published in Search Engine

“Search is not just about answering your questions -- it’s also about discovery,” writes Google product manager Michael Galvez.

Google has announced three new search updates around featured snippets, knowledge panel information and suggestions for related topics.

According to a post on Google’s The Keyword blog, a selection of featured snippets will now include more images and related search suggestions within the box displaying the featured snippet content.

It is also expanding the information displayed in the Knowledge Panel to include related content.

“For example, while looking at the Knowledge Panel about skiing, you’ll see related searches for sports such as snowboarding directly inside the result,” writes Google product manager, Michael Galvez.

Google says the expansion of related topics has not only been updated within knowledge panel information, but at the top of search results as well.

Related...

Using an example of searches for the famed soccer players Neymar and Messi, Google says searchers will see suggestions for related topics, “… to discover other athletes during your search session.”

In addition to these confirmed updates, it appears Google is also testing a new feature that displays a carousel with a list of answers directly within the search results snippet, as we reported earlier today.

“Search is not just about answering your questions — it’s also about discovery,” writes Galvez, who goes on to say the updates are meant to help searches further explore the topics they are researching.

 Source: This article was published searchengineland.com By Amy Gesenhues

Published in Search Engine

Company says change is meant to provide more descriptive snippets.

Google has confirmed with Search Engine Land that it has made a change to the way it displays snippets in search results. A snippet is the description of a page shown below the URL in an organic search result that helps show how it relates to the search query.

A Google spokesperson told us:

We recently made a change to provide more descriptive and useful snippets, to help people better understand how pages are relevant to their searches. This resulted in snippets becoming slightly longer, on average.

Here is a screen shot highlighting the description snippet of a Google search result:

Over the past week or so, many have been noticing that the snippets were longer than what’s typically been shown.

Related...

RankRanger has been tracking these as well, and according to its tools, the snippet length has grown from 160 characters to almost 230 characters on average. Here is the growth chart:

Some webmasters and SEOs may consider updating their meta descriptions, but I don’t believe Google would recommend doing so. The snippets are more often dynamically generated based on the user query and content found in both the meta description and the content visible on the page. If Google is going to go with a longer snippet, it likely will pull that content from the page.

Source: This article was published searchengineland.com By Barry Schwartz

Published in Search Engine

Editor’s note: This post is part of an ongoing series looking back at the history of Google algorithm updates. Enjoy!


Google’s Freshness, or “fresher results”, update – as the name suggests – was a significant ranking algorithm change, building on the Caffeine update, which rolled out in June 2010.

When Google announced an algorithm change on November 3, 2011, impacting ~35 percent of total searches (6-10 percent of search results to a noticeable degree), focusing on providing the user with ‘fresher, more recent search results‘, the SEO industry and content marketers alike stood up and took notice.

Where Does the Name Come From?

The freshness or ‘fresher results’ name for this algorithm update is directly taken from the official Google Inside Search blog announcement.

Google Freshness Update Nov 2011

Why Was the Freshness Update Launched?

It is predicted that more data will be created in 2017 than the previous 5,000 years of humanity, a trend which has been ongoing for a few years now, and one driving Google to act to cater for this availability and demand for up to date, fresh, new content.

When you combine this data and content growth, with the levels of new and unique queries Google handles, you begin to establish justification for identifying, handling, prioritizing and ranking fresh content within the Google search index.

According to a 2012 ReadWrite article, 16 to 20 percent of queries that get asked every day have never been asked before.

A key intention of this update is to provide greater emphasis on the importance of recentness of content specifically tied to areas like latest news, events, politics, celebrities, trends and more, specifically where the user is expected to want to know the most current information.

Someone searching for “Taylor Swift boyfriend” will likely want to know the current person she is dating, therefore content time/date stamped yesterday, with lots of social shares, engagement, and backlinks over the past few hours, will likely displace prior ranking content which has not been updated, or providing the same activity freshness signals.

Here are the results for this query as at the time of writing this article.

Tailor Swift SERPs Oct 2017

Who Was Impacted by Freshness Algorithm?

At a noticeable level, between 6 to 10 percent of search queries were impacted by the Freshness algorithm, but some degree of change was applied to a collective third (35 percent) of all searches.

One of the interesting aspects of the Freshness Algorithm update was the fact that many more sites appeared to have gained from the update, as opposed to having seen lost rankings or visibility from them. This is quite uncommon with most changes to the Google algorithm.

Looking specifically at the identified “winners” from the update, according to Searchmetrics:

Google prefers sites like news sites, broadcast sites, video portals and a lot Brand sites. This is also a type of sites which have regularly fresh content and a big brand with higher CTRs.

Industry Reaction to the Freshness Update

Due to the nature of the update being an overarching positive change; one rewarding content creators, fresh/relevant/latest news providers, and many bigger brands investing in content, the initial reaction was tied towards analysis of the change and the logical nature of the update.

The analysis of the change was associated with the expected “big” impact from the Google announcement of 35 percent of search results being affected, and the actual disproportionately small amount of negative impact being reported.

The Solution/Recovery Process

The Freshness update is one of my favorite Google algorithms as it makes perfect sense, and was impactful for changing SERPs for the better, in a logical, easy to understand, and practical way.

If you’re covering a topic area and the information you have is out of date, time-sensitive, hasn’t been refreshed or updated in some time, or is simply being surpassed by more engaging, fresh and new competing content, it is likely that you need to give that content/topic some more attention, both on page and off page.

An important part of the freshness update is that it is not just about refreshing content, but also tied to the frequency of content related to the topic.

For example; the expected frequency of content prominently ranking during a political campaign spanning weeks, would reflect the latest campaign changes rather than static (even day old) content, with since surpassed relevancy, accuracy, and associated user engagement and social sharing signals.

This update was building on Google’s established “query deserves freshness” (QDF) methodology:

THE QDF solution revolves around determining whether a topic is “hot.” If news sites or blog posts are actively writing about a topic, the model figures that it is one for which users are more likely to want current information. The model also examines Google’s own stream of billions of search queries, which Mr. Singhal believes is an even better monitor of global enthusiasm about a particular subject.

It also was made possible by Google’s Caffeine web search index update:

With Caffeine, we analyze the web in small portions and update our search index on a continuous basis, globally. As we find new pages, or new information on existing pages, we can add these straight to the index. That means you can find fresher information than ever before—no matter when or where it was published.

Practical Tactics for Recovering from the Freshness Algorithm

Five of the best ways to recover from any lost ranking (or to take advantage of the new untapped opportunity) as a result of the Freshness Algorithm change include:

1. Revisit Existing Content

Look through year on year, or even previous period content performance. Identify pages/topics that previously drove volumes of impressions, traffic, and rankings to the website, and prioritize refreshing them.

You may find that time and date stamped content in blogs, news, and media sections, have seen significant data change/drops. If this is the case, consider the value of updating the historical content by citing new sources, updating statistics, including more current quotes, and adding terms reflecting latest search queries.

2. Socially Share & Amplify Content

Social signals, fresh link signals, and associated external interest/buzz surrounding your content can fuel ranking gains tied to QDF and previous algorithm updates like the Freshness update.

Don’t underestimate the value of successful social sharing and PR activities driving new content discovery, engagement, and interaction.

3. Reconsider Content Frequency

If your website covers industry change, key events, and any degree of breaking news/insight, you may need to think about the frequency that you are informing your audience, and adding content to your website.

People are digesting more content than ever before, and users demand the latest news as it happens – minor frequency changes can make a positive difference between being first to market, or being late to the party.

4. Take a Tiered Approach to Content Creation 

With voice, video, images, virtual reality, and a host of content types, plus common website inclusion approaches (blogs, news, media, content hubs, microsites, more), adding layers of content to your digital offering will enable broader visibility of the brand on key ranking areas, plus extra  leverage of the various search verticals at your disposal.

Whether these updates result in new landing pages or adding of depth and content value to existing URLs, will differ on intent, but either way, this will support many of the freshness points relating to recovery or gains tied to this update.

5. Add Evergreen Content Into Your Content Mix 

Evergreen content is the deeper content creation that has more redundancy to the test of time, and is able to perform month in and month out, contributing to search rankings and traffic over many months, even years. Typically evergreen content reflects:

  • Thorough topical research.
  • Unique insight.
  • Targeted application of expertise on a given topic.
  • Refined content that gets updated every few months when changes require modification.
  • Longer form content (often in the several thousands of works criteria).
  • Mixed content type inclusive.

You may see this as your hero content pieces, those warranting budget, promotion, and reinvestment of time and resource.

How Successful was the Freshness Algorithm Update?

Although the Freshness Algorithm change isn’t frequently mentioned in many industry topical conversations and often gets overshadowed by the likes of Penguin, Panda, Hummingbird, Mobile First, RankBrain, and others, to me, this reinforces the level of success it had.

When you look for time intent queries like [football results] you will notice that dominant sites are providing:

  • Live scores
  • In-game updates
  • Latest results
  • Interactive scoreboards
  • Current fixtures
  • Much more

These useful and changing (often changing by the hour) results reflect the practical benefits that this update has had to our search experience, and the opportunity this brings to value-based companies, able to act on the latest data.

Freshness Myths & Misconceptions

The biggest misconception related to this algorithm update was the anticipated negative impact tied to the scale of results (~35 percent) that would be applicable to Google Freshness.

As this was one of the more positive and practical algorithm changes, the freshness update has been overlooked by many, playing the role of unsung auditor of tired, unloved content needing to be improved, and of active content use able to satisfy searcher needs, and rank for more time-sensitive user intent.

Source: This article was published searchengineland.com By Lee Wilson

Published in Search Engine

Started in 1998, Google search is the most used web search engine in the world. While Google makes hundreds of changes to its search algorithm each year, it has not made any major overall to its simple yet functional user interface.

With default settings, when you search for something using Google search, it shows a total number of 10 results (excluding advertisements) per page irrespective of the web browser and operating system you’re using. Though more often than not users find the information they are looking for by clicking one of the results appeared in the first 10 results, at times we need to move on to the second or third page to get the required information.

Users who feel that the default 10 results per page is not sufficient to get the required information and love the idea of getting more than 10 results per page can configure Google to show up to 100 results per page.

Show more results per page in Google

Here is how you can configure Google search to show up to 100 results per page to see more results while searching the web using Google.

Change the number of results per page in Google

Note that we need to turn off instant predictions in order to show more results per page.

Step 1: Open Google in your web browser and sign in to your Google account (Gmail). Note that you don’t need to sign-in in order to configure Google show more results per page but signing-in using Google account will save the settings for your Google account.

Step 2: Enter a search keyword in the search box and then press enter key to see the results.

show more search results per page in Google search

Step 3: Click on the small Gear icon appearing on the upper-right corner of the page and then click Search Settings to open the same.

Show more results per page in Google step1Step 4: Here, under Google instant predictions section, select the option labelled Never show instant results.

show more search results per page in Google

Step 5: Next, under Results per page section, move the slider to the right to increase the number of results per page. As you can see, 10 is the minimum and 100 is the maximum number of results Google can show per page. Click Save button.

Show more results per page in Google step2

It’s important to note that setting more than 50 results per page might make the overall search experience a bit slower. How to make Google always open search results in new tab page guide might also interest you.

Source: This article was published intowindows.com

Published in How to

Google has confirmed the reports of a bug where configuring your search preferences to non-instant results, set to show 100 search results on a page, stopped working.

Google Search Results Setting

The bug began sometime around October 18th, when we first noticed a Google Web Search Help thread with complaints.

Google's Nealeigh only responded to the issue a couple days ago saying:

Thanks for your reports! We're looking into the issue. I will provide info as soon as I'm updated on the situation.

Google may have just rolled out a fix, as one user is now reporting the preference sticks and he is able to see 100 search results on a page.

Forum discussion at Google Web Search Help.

Source: This article was published seroundtable.com By Barry Schwartz

Published in Search Engine
Page 1 of 4

airs logo

AIRS is the world's leading community for the Internet Research Specialist and provide a Unified Platform that delivers, Education, Training and Certification for Online Research.

Subscribe to AIRS Newsletter

Receive Great tips via email, enter your email to Subscribe.
Please wait

Follow Us on Social Media

Read more content?
Register or Login as "AIRS Guest"
Enjoy Guest Account
or

x
Create an account
x

or