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公开(公告)号:US20170358022A1
公开(公告)日:2017-12-14
申请号:US15178667
申请日:2016-06-10
Applicant: Yahoo!, Inc.
Inventor: Lajos Zoltan Deak , Csaba Kecskemeti
CPC classification number: G06Q30/0631 , G06Q50/14 , H04W4/023 , H04W4/027 , H04W4/029
Abstract: One or more computing devices, systems, and/or methods for providing recommendations to travelers are provided. For example, locational data associated with a device of a user is evaluated to identify a set of location points at which the device was located over time. Location point pairings are generated from the set of location points, where a location point pairing may comprise a departure location point and an arrival location point. The location point pairings are filtered based upon various criteria to remove location point pairings that are not indicative of air flight travel (e.g., a location point pairing not satisfying an air flight speed threshold or an air flight travel distance threshold). The user may be determined as an air flight traveler that has recently used air flight travel to reach a destination location. A recommendation of content for the destination location is provided to the user.
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公开(公告)号:US20180039855A1
公开(公告)日:2018-02-08
申请号:US15230731
申请日:2016-08-08
Applicant: Yahoo! Inc.
Inventor: Csaba Kecskemeti , Gergely Timar
Abstract: Briefly, example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, using one or more computing devices to facilitate and/or support one or more operations and/or techniques for improving quality of location-related content, such as truncated location-related content, for example, while preserving and/or maintaining user privacy.
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公开(公告)号:US20180113881A1
公开(公告)日:2018-04-26
申请号:US15332838
申请日:2016-10-24
Applicant: Yahoo! Inc.
Inventor: Csaba Kecskemeti , Robert Ormandi
IPC: G06F17/30
Abstract: A method and apparatus for determining geographic clusters of geographical content may include computation of a first evaluation metric. The first evaluation metric may be descriptive of a distribution of geo-location points within a cluster of a plurality of geographic clusters. A second evaluation metric may also be computed that is descriptive of coherence of the plurality of geographic clusters. Geo-location points of the geographical content may be clustered based, at least in part on the first and second evaluation metrics.
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