Novel Topic Models for Content Based Recommender Systems.
Kamal MaanicshahManar AmayriNizar BouguilaPublished in: ICEIS (1) (2023)
Keyphrases
- topic models
- recommender systems
- content based filtering
- topic modeling
- collaborative filtering
- latent dirichlet allocation
- image retrieval
- text documents
- latent variables
- text mining
- co occurrence
- matrix factorization
- latent topics
- gibbs sampling
- latent topic models
- probabilistic model
- user profiles
- relevance feedback
- text corpora
- relevance model
- generative model
- pairwise
- probabilistic topic models
- information retrieval
- implicit feedback
- bayesian networks
- feature selection
- hierarchical bayesian model