LOCATION-SENSITIVE RANKING FOR SEARCH AND RELATED TECHNIQUES

    公开(公告)号:US20170091189A1

    公开(公告)日:2017-03-30

    申请号:US14868135

    申请日:2015-09-28

    Applicant: Yahoo! Inc.

    Abstract: A location prediction framework is described for applying location labels or tags to target documents and/or identifying location-sensitive queries. Terms in content and queries are represented by corresponding term locations vectors (TLVs) in which the term is represented as a weighted distribution across locations. Each element of a TLV represents a probability that the term corresponding to the TLV relates to a particular location. Predicted locations may be introduced as features to a ranking framework to improve the identification and ranking of search results for a given query.

    PREDICTING LOCATIONS FOR WEB PAGES AND RELATED TECHNIQUES

    公开(公告)号:US20170091203A1

    公开(公告)日:2017-03-30

    申请号:US14868154

    申请日:2015-09-28

    Applicant: Yahoo! Inc.

    CPC classification number: G06F16/9537

    Abstract: A location prediction framework is described for applying location labels or tags to target documents and/or identifying location-sensitive queries. Terms in content and queries are represented by corresponding term locations vectors (TLVs) in which the term is represented as a weighted distribution across locations. Each element of a TLV represents a probability that the term corresponding to the TLV relates to a particular location. Predicted locations may be introduced as features to a ranking framework to improve the identification and ranking of search results for a given query.

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