Google Inc.

Flipboard, Inc.

David Francois Huynh

Yanlai Huang

Chen Ding

JinYu Lou

Chen Zhou

Guanghua Li

Hongda Shen

Yangyang Chai

Yiming Li

Liang Hu

Ying Chai

Lijie Chen

Weibin Pan

Kejia Liu

Grace Chung

Kai Ju Liu

Jingxu Chen

Methods and systems are provided for ranking search results and generating a presentation. In some implementations, a search system generates a presentation based on a search query. In some implementations, a search system ranks search results based on data stored in a knowledge graph. In some implementations, a search system identifies a modifying concept such as a superlative in a received search query, and determines ranking properties based on the modifying concept.

Search result ranking and presentation

A technique for providing search results may include determining a first entity type, a second entity type, and a relationship type based on a compositional query. The technique may also include identifying nodes of a knowledge graph corresponding to entity references of the first entity type and entity references of the second entity type. The technique may also include determining from the knowledge graph an attribute value corresponding to the relationship type for each entity reference of the first entity type and for each entity reference of the second entity type. The technique may also include comparing the attribute value of each entity reference of the first entity type with the attribute value of each entity reference of the second entity type. The technique may also include determining one or more resultant entity references from the entity references of the first entity type based on the comparing.

Providing search results based on a compositional query

Implementations provide an enhanced search result to improve the user search experience. For example, the result may include insightful information relevant to the search query that was not specifically requested but that the user may find interesting, such as relationships shared between the two entities related to the query, a relationship between the two entities that does not commonly occur with another relationship shared by the entities, or strong secondary connections for an entity related to the query. In some implementations, insightful connections may also be unique facts for a particular entity. Unique facts may represent a superlative attribute of an entity such as, for example, the tallest actor, the oldest president, the most expensive stock, etc. Such shared relationships, rare relationships, and/or unique facts may be provided as part of the search results presented to the query requestor and may provide insight to the requestor about the entity.

Generating insightful connections between graph entities

Methods, systems, and computer-readable media are provided for ranking search results. A search system may determine several metrics based on search results. The search system may determine weights for the metrics, wherein the weights are based in part on the type of entity included in the search. The search system may determine a score by combining the metrics and the weights. The search system may rank search results based on the score.

Ranking search results based on entity metrics

Methods and systems are provided for providing search results while maintaining search context. A search system may display a plurality of links related to a received search query, wherein the links are all of the same entity type. The system may display sets of search results related to the plurality of links, while continuing to display the plurality of links.

Maintaining search context

A digital magazine server creates cover pages identifying relevant content items relevant to a user. Candidate feeds of content items are identified from various sources, with clusters of content items generated from content items included in various candidate feeds. Content items in various clusters are scored, and one or more content items are selected from each cluster. The selected content items are placed in a consolidated feed, which is used to create a cover page for viewing by a user of the digital magazine server. One or more advertisements may be included in a candidate feed, with the digital magazine server specifying a position within the cover page in which a content item associated with a candidate feed including an advertisement is presented.

Presenting advertisements in a digital magazine by clustering content

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San Francisco, CA, United States of America

David Francois Huynh