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Recommender Systems: A Review
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AI
DOI：10.1080/01621459.2023.2279695.png)
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Abstract
En 中文
Recommender systems are the engine of online advertising. Not only do they suggest movies, music, or romantic partners, but they also are used to select which advertisements to show to users. This paper reviews the basics of recommender system methodology and then looks at the emerging arena of active recommender systems.
Keywords:
Collaborative filtering
Content-based filtering
Conversational recommender systems
MovieLens data
Probabilistic matrix factorization
Journal
J
IF:
3
Papers:
5.1K
Citations:
4.8W
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