Theoretical Modeling of the Iterative Properties of User Discovery in a Collaborative Filtering Recommender System.
Sami KhenissiMariem BoujelbeneOlfa NasraouiPublished in: RecSys (2020)
Keyphrases
- collaborative filtering
- recommender systems
- user preferences
- matrix factorization
- recommendation quality
- data sparsity
- cold start problem
- user profiles
- recommendation systems
- user model
- information filtering
- cold start
- user ratings
- information overload
- product recommendation
- content based filtering
- active user
- online dating
- user feedback
- user interests
- user modeling
- personalized recommendation
- recommendation algorithms
- implicit feedback
- item recommendation
- web personalization
- deal with information overload
- discovery process
- user profiling
- user behavior
- data mining
- pattern discovery
- exploratory analysis
- prediction accuracy
- collaborative filtering algorithms
- theoretical analysis
- user similarity
- user interaction
- information retrieval systems
- end users
- making recommendations
- probabilistic matrix factorization
- search engine