A similarity measure based on Kullback-Leibler divergence for collaborative filtering in sparse data.
Jiangzhou DengYong WangJunpeng GuoYongheng DengJerry GaoYounghee ParkPublished in: J. Inf. Sci. (2019)
Keyphrases
- sparse data
- kullback leibler divergence
- collaborative filtering
- mutual information
- information theory
- probability density function
- recommender systems
- information theoretic
- high dimensional
- matrix factorization
- distance measure
- machine learning
- marginal distributions
- diffusion tensor
- data cube
- transfer learning
- text classification
- training set
- data sets