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PRODUCT RECOMMENDATION METHOD, PRODUCT RECOMMENDATION SYSTEM AND COMPUTER READABLE STORAGE MEDIUM

机译:产品推荐方法,产品推荐系统和计算机可读存储介质

摘要

A product recommendation method, a product recommendation system and a computer readable storage medium is provided, the method includes: obtaining a score of a first attribute content of a first attribute of a plurality of products; obtaining a second attribute of a prediction product and a second attribute content of the second attribute; identifying historical scores of the plurality of products of same type from users as an input of a collaborative wave-filtering system, and obtaining a collaboratively prediction score of the prediction product; identifying the score of the first attribute content and the historical scores as inputs of a deep neural network model, and obtaining a prediction score ratio of the second attribute and a collaborative prediction score ratio; calculating scores of the prediction product corresponding to a user; and recommending a prediction product to a user.
机译:提供产品推荐方法,产品推荐系统和计算机可读存储介质,该方法包括:获得多个产品的第一属性的第一属性的分数; 获取预测产品的第二属性和第二属性的第二属性内容; 从用户识别多个产品的多个产品的历史分数作为协作波过滤系统的输入,并获得预测产品的协作预测得分; 将第一个属性内容的分数和历史分数识别为深度神经网络模型的输入,并获得第二属性的预测得分比和协作预测得分比; 计算与用户对应的预测产品的分数; 并将预测产品推荐给用户。

著录项

  • 公开/公告号US2021295415A1

    专利类型

  • 公开/公告日2021-09-23

    原文格式PDF

  • 申请/专利权人 SHENZHEN TCL NEW TECHNOLOGY CO. LTD.;

    申请/专利号US201917258455

  • 发明设计人 YONGZE XU;CHEUNGMING LAI;

    申请日2019-12-18

  • 分类号G06Q30/06;G06Q30/02;G06N3/08;

  • 国家 US

  • 入库时间 2022-08-24 21:12:26

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