Comparing LDA and LSA Topic Models for Content-Based Movie Recommendation Systems.
Sonia BergamaschiLaura PoPublished in: WEBIST (Revised Selected Papers) (2014)
Keyphrases
- recommendation systems
- topic models
- latent dirichlet allocation
- latent semantic analysis
- topic modeling
- collaborative filtering
- text mining
- latent topics
- recommender systems
- gibbs sampling
- user preferences
- image retrieval
- probabilistic model
- generative model
- topic discovery
- co occurrence
- latent variables
- text documents
- latent topic models
- probabilistic latent semantic analysis
- web search
- lda model
- collapsed gibbs sampling
- user feedback
- search engine
- user ratings
- probabilistic topic models
- text corpora
- relevance feedback
- knowledge discovery
- feature selection
- hierarchical bayesian model
- information retrieval