A Collaborative Filtering Recommendation System by Unifying User Similarity and Item Similarity.
Dongzhan ZhangChao XuPublished in: WAIM Workshops (2011)
Keyphrases
- user similarity
- collaborative filtering
- recommender systems
- recommendation systems
- pearson correlation coefficient
- personalized recommendation
- matrix factorization
- user preferences
- collaborative filtering algorithms
- data sparsity
- user based collaborative filtering
- information filtering
- collaborative recommendation
- product recommendation
- collaborative filtering recommendation algorithm
- making recommendations
- web search
- user ratings
- cold start
- multi agent
- implicit feedback
- cold start problem
- recommendation algorithms
- user model
- learning to rank
- transfer learning
- item recommendation
- search engine
- information retrieval