Topic model-based recommender systems and their applications to cold-start problems.
Mimu KawaiHiroyuki SatoTakayuki ShiohamaPublished in: Expert Syst. Appl. (2022)
Keyphrases
- cold start problem
- recommender systems
- cold start
- collaborative filtering
- data sparsity
- matrix factorization
- user interests
- personalized recommendation
- topic modeling
- user preferences
- information overload
- user profiles
- topic models
- latent dirichlet allocation
- user generated content
- learning to rank
- prediction accuracy
- active learning
- tag recommendation
- training data