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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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