- 专利标题: Method and system for combining user, item and review representations for recommender systems
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申请号: US15895063申请日: 2018-02-13
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公开(公告)号: US10963941B2公开(公告)日: 2021-03-30
- 发明人: Alberto Garcia Duran , Roberto Gonzalez Sanchez , Mathias Niepert , Daniel Onoro Rubio
- 申请人: NEC Laboratories Europe GmbH
- 申请人地址: DE Heidelberg
- 专利权人: NEC Laboratories Europe GmbH
- 当前专利权人: NEC Laboratories Europe GmbH
- 当前专利权人地址: DE Heidelberg
- 代理机构: Leydig, Voit & Mayer, Ltd.
- 主分类号: G06Q30/00
- IPC分类号: G06Q30/00 ; G06Q30/06 ; G06Q30/02 ; G06N3/08 ; G06N5/04 ; G06F16/22 ; G06F16/9535 ; G06N3/04 ; G06F16/9536 ; G06N5/02
摘要:
A method for providing recommendations to users includes obtaining stored data structure triples and actual ratings associated with the data structure triples; training a machine learning model using the stored data structure triples and associated actual ratings, wherein training the machine learning model includes generating user, product, and review representations based on the stored data structure triples and their associated ratings; predicting, by the machine learning model, ratings using the generated user, product, and review representations; and making recommendations based on the predicted ratings.