Knowledge-Aware Multispace Embedding Learning for Personalized Recommendation

Knowledge-Aware Multispace Embedding Learning for Personalized Recommendation

Recommender systems help users filter items they may be interested in from massive multimedia content to alleviate information overload. Collaborative filtering-based models perform recommendation relying on users’ historical interactions, which meets great difficulty in modeling users’ interests wi...

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Bibliographic Details
Main Authors: Meng Jian, Chenlin Zhang, Xin Fu, Lifang Wu, Zhangquan Wang
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Sensors
Subjects:
collaborative filtering
user interest
knowledge graph
recommender system
Online Access:https://www.mdpi.com/1424-8220/22/6/2212

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https://www.mdpi.com/1424-8220/22/6/2212

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