Handling data sparsity in collaborative filtering using emotion and semantic based features.
Yashar MoshfeghiBenjamin PiwowarskiJoemon M. JosePublished in: SIGIR (2011)
Keyphrases
- data sparsity
- collaborative filtering
- matrix factorization
- recommender systems
- cold start problem
- transfer learning
- recommendation quality
- cold start
- collaborative filtering algorithms
- feature set
- pearson correlation coefficient
- data sets
- personalized recommendation
- user interests
- user preferences
- information sources
- knowledge discovery
- active learning
- reinforcement learning