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公开(公告)号：US20240104403A1
公开(公告)日：2024-03-28
申请号：US18521061
申请日：2023-11-28
Inventor： Yaqing Wang , Hongming Piao , Longteng Xu , Daxiang Dong , Jingbo Zhou
IPC: G06N5/022
CPC classification number: G06N5/022
Abstract: A method for training a click rate prediction model includes: obtaining sample feature information and a label value, in which the sample feature information includes feature information of a sample user and feature information of a target object, and the label value is configured to indicate whether the sample user interacts with the target object; obtaining a plurality of adjacent matrixes for feature interaction by processing the feature information of the target object based on the hypernetwork module; obtaining a click rate prediction value of the sample user on the target object using the prediction module, according to the sample feature information and the plurality of adjacent matrixes; and training the click rate prediction model according to the label value and the click rate prediction value.
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公开(公告)号：US20240094018A1
公开(公告)日：2024-03-21
申请号：US18519395
申请日：2023-11-27
Inventor： Shuangli Li , Fan Wang , Jingbo Zhou
CPC classification number: G01C21/3476 , G01C21/3682 , G06F18/251
Abstract: A method for acquiring point of interest (POI) representation information, includes: acquiring a POI relationship graph, and acquiring a node relationship set of each node on the POI relationship graph based on the POI relationship graph, in which the POI relationship graph includes edges representing relationships between nodes of POIs, and the node relationship set includes relationship paths where the node reaches all second-order neighbor nodes via any one first-order neighbor node; acquiring a spatial distance matrix between the node and corresponding second-order neighbor nodes; and determining first POI representation information of the node based on the node relationship set of the node and the spatial distance matrix.
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