A collaborative filtering recommendation algorithm based on information theory and bi-clustering.
Mingyang JiangZhifeng ZhangJingqing JiangQinghu WangZhili PeiPublished in: Neural Comput. Appl. (2019)
Keyphrases
- information theory
- information theoretic
- statistical learning
- mutual information
- jensen shannon divergence
- collaborative filtering recommendation algorithm
- clustering algorithm
- conditional entropy
- statistical mechanics
- business intelligence
- kullback leibler divergence
- statistical physics
- k means
- mdl principle
- data points
- relative entropy
- shannon entropy
- recommendation systems
- collaborative filtering
- video sequences