Google Inc.

Eric Lehman

Sundeep Tirumalareddy

Trystan G Upstill

Henele Iitaka Adams

Neesha Subramaniam

Wensi Xi

Paul Haahr

Michael E Flaster

Yonghui Wu

Jason W Blythe

Zhaoyang Xu

Mahsan Rofouei

Jamie Leach

Danielle Fisher

According to an aspect, a method includes, in response to a search query for web content, obtaining, by a search engine, search results relevant to the search query, where the search results include a set of responsive documents, and generating a plurality of themes from content included in the set of responsive documents, where each of the plurality of themes includes a respective phrase that describes a respective theme. The method includes providing thematic data to a browser application on a client device, where the thematic data includes the plurality of themes and thematic search results, which may be a portion of the search results arranged by the plurality of themes. The thematic data is configured to cause the browser application to display the plurality of themes in a search results page.

Thematic search

Methods, systems, and apparatus, including computer program products, for identifying navigational resources for queries. In an aspect, a candidate query in a query sequence is selected, and a revised query subsequent to the candidate query in the query sequence is selected. If a quality score for the revised query is greater than a quality score threshold and a navigation score for the revised query is greater than a navigation score threshold, then a navigational resource for the revised query is identified and associated with the candidate query. The association specifies the navigational resource as being relevant to the candidate query in a search operation.

Navigational resources for queries

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating synthetic descriptive text. One of the methods includes identifying a group of linking resources, wherein each of the linking resources includes a link to a respective target resource; determining, from a search engine index, that at least some of the target resources are associated with seed queries; generating term location information that identifies, for each seed query, locations of terms from the seed query in the linking resource that links to the target resource associated with the seed query; generating synthetic descriptive text for the target resources based on the term location information; and associating the synthetic descriptive text with the target resources in the search engine index.

Generating synthetic descriptive text

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using synthetic descriptive text to rank search results. One of the methods includes receiving a search query from a user device; receiving data identifying a plurality of search result resources and respective initial scores for each of the search result resources; determining, from a search engine index, that a particular search result resource of the plurality of search result resources is associated with one or more pieces of synthetic descriptive text, wherein each piece of synthetic descriptive text is generated by applying a respective template to a respective linking resource that links to the particular search result resource; computing a synthetic descriptive text score for the particular search result resource; and adjusting the initial score for the particular search result resource based at least in part on the synthetic descriptive text score.

Using synthetic descriptive text to rank search results

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Mountain View, CA, United States of America

Eric Lehman