OPTIMIZING ITEM DISPLAY ON GRAPHICAL USER INTERFACES

    公开(公告)号:US20190171689A1

    公开(公告)日:2019-06-06

    申请号:US16211209

    申请日:2018-12-05

    Applicant: GOOGLE LLC

    Abstract: A search computing system receives an interaction history for one or more respective users describing interactions with one or more items and generates a co-interaction matrix, each value in the co-interaction matrix representing a number of common users determined to have had the interaction with an item of a corresponding row and an item of the corresponding column of the co-interaction matrix where the value is located. The search computing system generates an embeddings matrix comprising an item embedding value for each of the one or more items by applying matrix factorization to the co-interaction matrix and determines, in response to a search query of a particular user, a user embedding value for the searching user based on the interaction history for the searching user. The search computing system determines a similarity between each search result and user interaction history by comparing the user embedding value against each of the item embedding values.

    Broad match control
    2.
    发明授权

    公开(公告)号:US10789259B2

    公开(公告)日:2020-09-29

    申请号:US14361637

    申请日:2013-07-22

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, for evaluating a creative. Methods can include identifying one or more selection keywords that are associated with a creative. Matching criteria can be identified for comparing the selection keywords and the request keywords. The matching criteria can be defined by a range from an exact match to a broad match and include a matching threshold in the range. A bid modifier associated with the matching criteria can be established. The bid modifier can modify a bid associated with the creative based on an extent of a match determined between the selection keywords and the request keywords for a given content request. The creative responsive to received content requests can be evaluated based on the matching criteria and the bid modifier.

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