Pattern based optimization of digital component transmission

    公开(公告)号:US10334057B2

    公开(公告)日:2019-06-25

    申请号:US15394894

    申请日:2016-12-30

    Applicant: Google Inc.

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for optimizing digital component transmission. A data structure stores session data for a user session. An encoder accesses the session data, encodes at least a portion of the online activities by representing different online activities with different symbols, and generates an encoded session string that includes multiple different symbols representing an order of occurrence of the different online activities. One or more servers classify the user session to a positive session classification or a negative session classification based on a classification score for the encoded session string, aggregates the classification of the user session with other classifications of other user sessions that have a same session string as the encoded session string, and adjusts distribution of digital components to client devices based on the aggregated classifications.

    PATTERN BASED OPTIMIZATION OF DIGITAL COMPONENT TRANSMISSION

    公开(公告)号:US20180191837A1

    公开(公告)日:2018-07-05

    申请号:US15394894

    申请日:2016-12-30

    Applicant: Google Inc.

    CPC classification number: H04L67/146 H04L67/22 H04L67/306

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for optimizing digital component transmission. A data structure stores session data for a user session. An encoder accesses the session data, encodes at least a portion of the online activities by representing different online activities with different symbols, and generates an encoded session string that includes multiple different symbols representing an order of occurrence of the different online activities. One or more servers classify the user session to a positive session classification or a negative session classification based on a classification score for the encoded session string, aggregates the classification of the user session with other classifications of other user sessions that have a same session string as the encoded session string, and adjusts distribution of digital components to client devices based on the aggregated classifications.

    Serving advertisements based on partial queries

    公开(公告)号:US09922344B1

    公开(公告)日:2018-03-20

    申请号:US13774120

    申请日:2013-02-22

    Applicant: Google Inc.

    CPC classification number: G06Q30/0256

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for serving advertisements based on partial queries. In one aspect, a method includes receiving a request for advertisements that specifies a set of query suggestions. The query suggestions are ranked based, at least in part on a probability of each query suggestion being selected by a user that input the partial query. A proper subset of the query suggestions is selected and includes a highest ranked query suggestion based on the ranking and one or more query suggestions of the set of query suggestions that is at least one of a revision of the highest ranked query suggestion or refers to a same topic as the highest ranked query suggestion. One or more advertisements are identified for each query suggestion of the proper subset. Data specifying the identified advertisements are provided.

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