US Patent Application 18215959. RECOMMENDATION METHOD, RECOMMENDATION NETWORK, AND RELATED DEVICE simplified abstract

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RECOMMENDATION METHOD, RECOMMENDATION NETWORK, AND RELATED DEVICE

Organization Name

HUAWEI TECHNOLOGIES CO., LTD.


Inventor(s)

Shendi Wang of Shenzhen (CN)


Haoyang Li of Hong Kong (CN)


Yunpeng Wang of Shenzhen (CN)


Chen Cao of Shenzhen (CN)


RECOMMENDATION METHOD, RECOMMENDATION NETWORK, AND RELATED DEVICE - A simplified explanation of the abstract

  • This abstract for appeared for US patent application number 18215959 Titled 'RECOMMENDATION METHOD, RECOMMENDATION NETWORK, AND RELATED DEVICE'

Simplified Explanation

This application presents a recommendation method for suggesting items to users, such as movies or games. The method involves utilizing a knowledge graph that consists of entities representing items and their attributes. By employing a neural network, the method analyzes the knowledge graph and user information to generate a recommendation result. The neural network performs computations based on the relationships between entities in the knowledge graph, ultimately providing the recommendation.


Original Abstract Submitted

Embodiments of this application disclose a recommendation method. The method in embodiments of this application is applied to a scenario in which an item is recommended to a user, for example, movie recommendation or game recommendation. The method in embodiments of this application includes: obtaining a knowledge graph, where the knowledge graph includes a plurality of first entities indicating items and a plurality of second entities indicating item attributes; and running a neural network based on the knowledge graph and information of the user, to obtain a recommendation result. The neural network is used to perform computing based on at least one first direction and at least one second direction in the knowledge graph to obtain the recommendation result.