Prediction of Preferences through Optimizing Users and Reducing Dimension in Collaborative Filtering System.
Su-Jeong KoPublished in: IEA/AIE (2004)
Keyphrases
- collaborative filtering
- recommender systems
- making recommendations
- user preferences
- prediction accuracy
- recommendation systems
- user specific
- deal with information overload
- online dating
- data sparsity
- demographic information
- individual preferences
- rating prediction
- user profiles
- matrix factorization
- user ratings
- user interests
- social media
- transfer learning
- cold start problem
- active user
- user similarity
- content based filtering
- decision making
- personal preferences
- recommendation quality
- web page recommendation
- personalized recommendation
- prediction error
- user feedback
- product recommendation
- collaborative filtering algorithms
- individual user
- implicit feedback
- recommendation algorithms
- preference model
- user requirements
- information overload
- web resources
- user interaction
- collaborative filtering recommender systems
- prediction model