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公开(公告)号:US12182729B2
公开(公告)日:2024-12-31
申请号:US17211720
申请日:2021-03-24
Inventor: Hesheng Liu , Yu Wang , Yuling Xiong , Zhiming Peng , Naifei Song , Shouke Qin
IPC: G06Q30/0601 , G06N5/04 , G06N20/00
Abstract: A method and apparatus for recommending a content, a device, and a medium are provided. The method may include: determining, based on historical behavior data of a user using a product and a feature of a structure of a to-be-recommended content, a target structural preference of the user, the structure being determined by classifying the to-be-recommended content based on any classifying method of a content tag system; and determining each recommendation result of the user based on the target structural preference, the recommendation result including at least two structures and a recommendation content corresponding to each structure.
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公开(公告)号:US20210209491A1
公开(公告)日:2021-07-08
申请号:US17211720
申请日:2021-03-24
Inventor: Hesheng Liu , Yu Wang , Yuling Xiong , Zhiming Peng , Naifei Song , Shouke Qin
Abstract: A method and apparatus for recommending a content, a device, and a medium are provided. The method may include: determining, based on historical behavior data of a user using a product and a feature of a structure of a to-be-recommended content, a target structural preference of the user, the structure being determined by classifying the to-be-recommended content based on any classifying method of a content tag system; and determining each recommendation result of the user based on the target structural preference, the recommendation result including at least two structures and a recommendation content corresponding to each structure.
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公开(公告)号:US11714816B2
公开(公告)日:2023-08-01
申请号:US17209981
申请日:2021-03-23
Inventor: Shijun Wang , Jingjing An , Shuwei Lu , Shuai Zhu , Chao Wang , Shouke Qin
IPC: G06F17/00 , G06F7/00 , G06F16/2457 , G06F16/22 , G06F16/248
CPC classification number: G06F16/24578 , G06F16/2246 , G06F16/248
Abstract: An information search method and apparatus, a device and a storage medium, relating to fields of intelligent search, intelligent recommendation, deep learning and the like. A specific implementation includes: determining feature information of a target user; acquiring at least one candidate search path to determine candidate search results in a database; determining a matching degree between the feature information of the target user and the at least one candidate search path using a matching model, and determining a target search path from the candidate search paths according to the matching degree; and determining a target search result matched with the target user using the target search path.
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