Baseline interest profile for recommendations using a geographic location

    公开(公告)号:US10404813B2

    公开(公告)日:2019-09-03

    申请号:US15265777

    申请日:2016-09-14

    Applicant: Oath Inc.

    Abstract: Software for a content-aggregation website generates a first representation of interests for a geographical location. The representation includes a plurality of entities that are derived from a corpus of documents. Each of the plurality of entities is associated with an expected value that is based on engagement signals from users in the geographical location and that is weighted using a sparse-polarity approach to be discriminative with respect to other entities. Each of the ingested articles is represented by the second representation that associates an aboutness score with each of the plurality of entities. The software uses the first representation, a similarity measure, and a second representation to create rankings of a plurality of ingested articles received. Then the software receives a request for access to the content-aggregation service from a new user from the geographical location and serves the new or infrequent user a content stream based on the rankings.

    SCALABLE AND EFFECTIVE DOCUMENT SUMMARIZATION FRAMEWORK

    公开(公告)号:US20190236086A1

    公开(公告)日:2019-08-01

    申请号:US16377525

    申请日:2019-04-08

    Applicant: Oath Inc.

    Abstract: Systems, methods, and apparatuses are disclosed for adaptively generating a summary of web-based content based on an attribute of a mobile communication device having transmitted a request for the web-based content. By adaptively generating the summary based on an attribute of the mobile communication device such as an amount of visual space available or a number of characters permitted in the interface, a display of the web-based content may be controlled on the mobile communication device in a way that was not previously available. This enables control of displaying web-based content that has been adaptively generated to be displayed on limited display screens based on a learned attribute of the mobile communication device requesting the web-based content.

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