CHESTNUT: Improve Serendipity in Movie Recommendation by an Information Theory-Based Collaborative Filtering Approach.
Xiangjun PengHongzhi ZhangXiaosong ZhouShuolei WangXu SunQingfeng WangPublished in: HCI (5) (2020)
Keyphrases
- information theory
- movie recommendation
- collaborative filtering
- information theoretic
- recommender systems
- statistical mechanics
- statistical learning
- jensen shannon divergence
- content based filtering
- recommendation systems
- conditional entropy
- matrix factorization
- mutual information
- kullback leibler divergence
- mdl principle
- shannon entropy
- computer vision
- user preferences
- user interests
- machine learning
- information filtering