Estimating social content interactions

    公开(公告)号:US09870403B1

    公开(公告)日:2018-01-16

    申请号:US14191354

    申请日:2014-02-26

    Applicant: Google Inc.

    Abstract: Techniques for estimating social content interactions are provided. An example method includes determining counts of one or more user interactions with one or more content items created by an author, each user interaction of the one or more user interactions having an associated time, classifying, based on respective associated times of the user interactions, the determined counts of the user interactions with the content items into predetermined time intervals spanning a first duration, computing an engagement model for the author based on the classified counts corresponding to the predetermined time intervals and a number of the content items created by the author and estimating, at a particular time for a second duration, a number of interactions with a particular content item created by the author based on the engagement model and a determined actual number of interactions with the particular content item.

    Determining a quality score for a content item

    公开(公告)号:US09727644B1

    公开(公告)日:2017-08-08

    申请号:US14037219

    申请日:2013-09-25

    Applicant: Google Inc.

    CPC classification number: G06F17/30867 G06F17/30303 G06Q50/01

    Abstract: Systems and methods for determining a quality score or a user engagement level for a content item are provided. The quality score is based on a recentness score of the content item, an affinity score between two users and a popularity score of the content item. The user engagement level for the content item is based on user interactions with the content item, associated times of the user interactions, and interaction types of the user interactions. The user engagement level for the content item is stored in association with the content item.

    Identifying geographic features from query prefixes

    公开(公告)号:US09317528B1

    公开(公告)日:2016-04-19

    申请号:US13953293

    申请日:2013-07-29

    Applicant: Google Inc.

    CPC classification number: G06F17/30864

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying geographic features. In one aspect, a method includes receiving a query. Geographic features are identified, each geographic feature being associated with one or more names, each geographic feature being associated with at least one name that includes the query. A feature-query score is computed for each geographic feature, including: for each name of the geographic feature that includes the query, identifying a computed feature-name score, wherein the feature-name score is computed based on a count of a number of occurrences of the name in a query log, wherein each occurrence is attributed to the feature; and computing the feature-query score based on the identified feature-name scores. The geographic features are ranked according to the feature-query scores.

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