A Proposal on the Error Bound of Collaborative Filtering Recommender System.
Uk-Pyo HanGil-Mo YangJae-Soo YooYoung-Jun ChungHee-Choon LeePublished in: MUE (2008)
Keyphrases
- error bounds
- recommender systems
- collaborative filtering
- matrix factorization
- theoretical analysis
- user preferences
- worst case
- data sparsity
- information filtering
- recommendation systems
- cold start problem
- user profiles
- recommendation quality
- information overload
- user model
- user feedback
- user interests
- personalized recommendation
- implicit feedback
- online dating
- content based filtering
- image registration
- upper bound
- cold start
- user ratings
- recommendation algorithms
- rating prediction