A novel model based collaborative filtering recommender system via truncated ULV decomposition.
Fahrettin HorasanAhmet Hasim YurttakalSelçuk GündüzPublished in: J. King Saud Univ. Comput. Inf. Sci. (2023)
Keyphrases
- recommender systems
- collaborative filtering
- matrix factorization
- interval estimation
- user preferences
- information filtering
- recommendation quality
- data sparsity
- cold start problem
- personalized recommendation
- data driven
- recommendation systems
- probabilistic matrix factorization
- movie recommendation
- implicit feedback
- online dating
- trust aware
- collaborative filtering algorithms
- neural network
- hybrid recommendation
- information overload
- user model
- user profiles
- decomposition methods
- cold start
- deal with information overload
- making recommendations
- netflix prize
- user item rating
- item recommendation
- rating prediction
- user modeling
- wavelet packet
- user interests
- web search
- information retrieval