The Impact of Recommender Systems on Item-, User-, and Rating-Diversity.
Wojtek KowalczykZoltán SzlávikMartijn C. SchutPublished in: ADMI (2011)
Keyphrases
- recommender systems
- user preferences
- user ratings
- collaborative filtering
- active user
- cold start problem
- item recommendation
- cold start
- recommendation quality
- recommendation algorithms
- personalized recommendation
- matrix factorization
- collaborative filtering recommender systems
- rating prediction
- user similarity
- user profiles
- user model
- item based collaborative filtering
- user modeling
- information overload
- recommendation systems
- information filtering
- user interests
- latent factor models
- user feedback
- data sparsity
- personal preferences
- trust aware
- prediction accuracy
- collaborative recommendation
- hybrid recommendation
- collaborative filtering recommendation algorithm
- user item rating
- collaborative filtering algorithms
- making recommendations
- user profiling
- content based filtering
- user defined
- end users
- user specific
- implicit feedback
- user interaction
- web search