A collaborative filtering framework based on both local user similarity and global user similarity.
Heng LuoChangyong NiuRuimin ShenCarsten UllrichPublished in: Mach. Learn. (2008)
Keyphrases
- collaborative filtering
- user similarity
- pearson correlation coefficient
- recommender systems
- collaborative filtering algorithms
- matrix factorization
- social networks
- user preferences
- personalized recommendation
- collaborative recommendation
- data sparsity
- recommendation systems
- user profiles
- cold start
- user interests
- user ratings
- information filtering
- data mining
- learning to rank
- user interaction
- machine learning