SYSTEMS AND METHODS FOR PERSONALIZING AGGREGATED NEWS CONTENT

    公开(公告)号:US20190340207A1

    公开(公告)日:2019-11-07

    申请号:US16514561

    申请日:2019-07-17

    Applicant: Google LLC

    Abstract: A system customizes a news document associated with a user of a news aggregation service. The system includes multiple news source servers that store news content and a remote news aggregation server. The news aggregation server creates a customized news document based on one or more personalized search queries received from a user. The news aggregation server fetches the news content from the multiple news source servers, aggregates the news content, and searches the aggregated news content based on the one or more personalized search queries. The news aggregation server provides selected news content to the customized news document based on results of the search.

    Providing suggestions within a document

    公开(公告)号:US10223392B1

    公开(公告)日:2019-03-05

    申请号:US15902103

    申请日:2018-02-22

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing suggestions within a document. In one aspect, a method includes obtaining textual input provided to a document editing application by a user device, the textual input being provided to the document editing application for inclusion in a document; identifying performance measures associated with the current editing session for the document, each performance measure being based on session data obtained from the user device during a document editing session, the session data being for the textual input and prior text that was included in the document prior to the textual input; providing the performance measures as input to a suggestion model that was trained using historical performance measures identified in performance logs for historical document editing sessions of users; and throttling textual suggestions during the current editing session based on the output of the suggestion model.

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