Item-Based Collaborative Filtering with Attribute Correlation: A Case Study on Movie Recommendation.
Parivash PirastehJason J. JungDosam HwangPublished in: ACIIDS (2) (2014)
Keyphrases
- movie recommendation
- item based collaborative filtering
- collaborative filtering
- recommender systems
- cold start problem
- recommendation algorithms
- content based filtering
- information filtering
- matrix factorization
- data mining
- personalized recommendation
- data sparsity
- user preferences
- transfer learning
- user model
- cross language
- information overload
- implicit feedback
- user profiling
- user profiles
- text mining
- information retrieval