Extending User Profiles in Collaborative Filtering Algorithms to Alleviate the Sparsity Problem.
Toon De PessemierKris VanheckeSimon DoomsTom DeryckereLuc MartensPublished in: WEBIST (Selected Papers) (2010)
Keyphrases
- user profiles
- collaborative filtering algorithms
- collaborative filtering
- data sparsity
- recommender systems
- user preferences
- information filtering
- matrix factorization
- user profiling
- user interests
- personalized search
- active user
- cold start
- user feedback
- recommendation systems
- user modeling
- web mining
- information overload
- user model
- content based filtering
- transfer learning
- multi agent systems
- concept hierarchy
- personalized recommendation
- implicit feedback
- user ratings
- user behavior
- natural language processing