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2024年3月25日发(作者:)
专利内容由知识产权出版社提供
专利名称:SYSTEM AND METHOD FOR PERSONALIZED
PRODUCT RECOMMENDATION USING
HIERARCHICAL BAYESIAN
发明人:Zhexuan Xu,Yongjun Bao
申请号:US16274468
申请日:20190213
公开号:US2A1
公开日:20200813
专利附图:
摘要:A method and system for product recommendation. The method includes:
defining, by a computing device, a hierarchical Bayesian model having a latent factor;
training, by the computing device, the hierarchical Bayesian model using a plurality of
training events to obtain a trained hierarchical Bayesian model, each event comprising
feature of a product, brand of the product, feature of a user, and action of the user upon
the product; predicting, by the computing device, a possibility a target user performing
an action on a target product using the trained hierarchical Bayesian model; and providing
product recommendation to the target user based on the possibility.
申请人:Beijing Jingdong Shangke Information Technology Co., Ltd., American
Technologies Corporation
地址:Beijing CN,Mountain View CA US
国籍:CN,US
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