Google Inc.

Yihua Wu

Kumar Mayur Thakur

Sagar Kamdar

Sean Liu

Jeremy Hylton

David Yen

Sheng Zhang

John E Saalweachter

Othar Hansson

Jun Gong

Bogdan Dorohonceanu

Andrew Hyatt

Wanda Wen-hui Hung

Sanghoon Cha

Anthony S Hyatt

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a search query, identifying a plurality of search results that are responsive to the search query, the plurality of search results including a plurality of items of digital content distributed using one or more social networking services, and determining that one or more terms provided in the search query is an active keyword and, in response: defining a first sub-set of items, the first sub-set of items including items of the plurality of items of digital content and being responsive to the active keyword, and providing items in the first sub-set of items for display as a discussion stream within search results.

Inline discussions in search results around real-time clusterings

Systems and methods for generating search results are provided. In some aspects, a method includes receiving a query, obtaining a search result that is responsive to the query, obtaining content from a social networking service that is responsive to the query and related to the search result, modifying the search result to include a first portion associated with the content from the social networking service, providing for display the modified search result and an interface component for receiving a request for interacting with the content, and modifying the search result to include a second portion of the content and to provide an interface to facilitate an interaction, in response to receiving a request for interacting with the content.

Modifying search results

Implementations of the present disclosure include actions of receiving authoritative user data, the authoritative user data associating one or more queries with one or more authoritative users, processing the authoritative user data to identify one or more trigger queries, each trigger query including a query that, if received, triggers a display of one or more authoritative users in response, and storing the one or more trigger queries in a trigger queries database, each trigger query being associated with a first set of authoritative users, each authoritative user in the first set of authoritative users being associated with a first score relating to a particular trigger query.

Showing prominent users for information retrieval requests

Implementations of the present disclosure include actions of actions of receiving a search query from a searching user, determining that the search query corresponds to a trigger query and, in response, providing data associated with the first set of authoritative users for potential display to the searching user, determining a second set of authoritative users based on the first set of authoritative users, for each authoritative user in the second set of authoritative users, receiving a contact status between the authoritative user and the searching user within a social networking service, and transmitting instructions to display data associated with authoritative users of the second set of authoritative users with search results responsive to the search query, the data including the contact status for each authoritative user in the second set of authoritative users.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for scoring items. One method includes generating a score for each of a plurality of items. The generating includes, for each item: obtaining a respective item-specific value of each of a plurality of indicators, determining a respective weight for the value of each of the plurality of indicators, wherein the respective weight for one or more of the plurality of indicators is derived from the value of the indicator, and generating the score for the item from the item-specific values and weights for the item-specific values. The method further includes providing the score for each item to a ranking engine implemented on one or more computers.

Dynamic weighting of indicator values for item scoring

Growing community of inventors

Princeton Junction, NJ, United States of America

Yihua Wu