Monday, 22 April 2019 13:53

Multifaceted featured snippets begin rolling out in Google search results

Author:  [This article is originally published in searchengineland.com written by Michelle Robbins]

[This article is originally published in searchengineland.com written by Michelle Robbins - Uploaded by AIRS Member: Jasper Solander]

Google updates the search results features with an expanded featured snippet targeting broad, nuanced queries

Google has been rolling out many new search features over the past few months related to images, featured snippets, and the knowledge graph. Today the search giant released another feature called “multifaceted featured snippets.”

Multifaceted featured snippets will be surfaced for queries that are sufficiently broad enough to allow for more than one interpretation of what was submitted. In these instances, the SERP returned will include more than one featured snippet, with the original query rewritten as the questions the algorithm assumes the user may have intended, and the results displayed in the multifaceted snippet will reflect those new questions.

From the announcement:

  • There are several types of nuanced queries where showing more comprehensive results could be helpful. We’re starting first with “multi-intent” queries, which are queries that have several potential intentions or purposes associated. The query “tooth pain after a filling,” for example, could be interpreted as “why does my tooth still hurt after a filling?” or “how long should a tooth hurt after a filling?”

For example:

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Multifaceted Featured Snippets vs. Multi-Perspective Answers

Back in December, Bing began rolling out AI-powered multi-perspective answers as part of its “Intelligent Search” set of new features, which includes Intelligent Answers, Intelligent Image Search and Conversational Search. Multi-perspective answers are just one of the “Intelligent Answers” features that has been live since the rollout. These results surface two (or more) authoritative sources on a topic, and will typically include differing perspectives/answers to the query.

Bing leverages its deep recurrent neural network models to determine similarity and sentiment among authoritative sources, and extracts the multiple viewpoints related to a topic — providing the most relevant set of multi-perspective answers (covered in more detail here).

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Google’s multifaceted featured snippets may appear not too dissimilar from Bing’s multi-perspective answers, in that they also provide multiple rich results for a single query, but they are instead based on the presumed multiple intentions of a query (resulting in both multiple queries and results) vs. multiple viewpoints resulting from a single query. With these types of broad queries, many interpretations of what the user is actually asking can exist.

Multifaceted snippets aim to provide a more comprehensive and actionable set of results for these multi-intent query scenarios. They differ from multi-perspective intelligent answers in that they presume a different question might be being asked altogether, and surface responses for each of the queries the algorithm assumes the user may have actually intended, as the screenshot below demonstrates:

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