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公开(公告)号:US20210374577A1
公开(公告)日:2021-12-02
申请号:US16884151
申请日:2020-05-27
申请人: Oath Inc.
发明人: Su-Chen Lin , Zhungxun Liao , Jian-Chih Ou , Tzu-Chiang Liou
摘要: One or more computing devices, systems, and/or methods for cross-domain action prediction are provided. Action sequence embeddings are generated based upon a textual embedding and a graph embedding utilizing past user action sequences corresponding to sequences of past actions performed by users across a plurality of domains. An autoencoder is trained to utilize the action sequence embeddings to project the action sequence embeddings to obtain intent space vectors. A service switch classifier is trained using the intent space vectors. In response to the service switch classifier predicting that a current user will switch from a current domain to a next domain, the current user is provided with a recommendation of an action corresponding to the next domain.
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公开(公告)号:US11556822B2
公开(公告)日:2023-01-17
申请号:US16884151
申请日:2020-05-27
申请人: Oath Inc.
发明人: Su-Chen Lin , Zhungxun Liao , Jian-Chih Ou , Tzu-Chiang Liou
摘要: One or more computing devices, systems, and/or methods for cross-domain action prediction are provided. Action sequence embeddings are generated based upon a textual embedding and a graph embedding utilizing past user action sequences corresponding to sequences of past actions performed by users across a plurality of domains. An autoencoder is trained to utilize the action sequence embeddings to project the action sequence embeddings to obtain intent space vectors. A service switch classifier is trained using the intent space vectors. In response to the service switch classifier predicting that a current user will switch from a current domain to a next domain, the current user is provided with a recommendation of an action corresponding to the next domain.
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公开(公告)号:US11372924B2
公开(公告)日:2022-06-28
申请号:US16448132
申请日:2019-06-21
申请人: Oath Inc.
发明人: Su-Chen Lin , Jian-Chih Ou , Tzu-Chiang Liou , Wei-Lun Su
IPC分类号: G06F16/90 , G06F16/9032 , G06F16/2457 , G06F16/9535 , G06K9/62 , G06F16/242 , G06N20/00 , G06F16/951
摘要: One or more computing devices, systems, and/or methods for generating a list of suggested queries associated with one or more keywords are provided. For example, one or more keywords may be received via a search interface. A plurality of queries associated with the one or more keywords may be determined based upon the one or more keywords and a historical query database. A plurality of relationship scores associated with the plurality of queries may be generated based upon a plurality of search sessions associated with the historical query database. The historical query database may be analyzed to determine a plurality of click rates associated with the plurality of queries. A list of suggested queries may be generated based upon the plurality of relationship scores and the plurality of click rates.
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公开(公告)号:US20210141825A1
公开(公告)日:2021-05-13
申请号:US16681223
申请日:2019-11-12
申请人: Oath Inc.
发明人: Wei-Lun Su , Wen-Hsuan Wu , Ching-Han Chang , Tzu-Chiang Liou
摘要: The present teaching relates to a method, system, and programming for searching content. A sketch of an object is obtained from a user. The sketch is processed by a neural network to generate an image corresponding to the sketch of the object. One or more features are extracted from the image, and one or more images previously stored are identified that have features similar to the one or more features. The one or more images are provided to the user.
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