Explaining Content-Based Recommendations with Topic Models.
Gustavo Padilha PolletiFábio Gagliardi CozmanPublished in: BRACIS (2019)
Keyphrases
- topic models
- latent dirichlet allocation
- topic modeling
- image retrieval
- recommender systems
- text documents
- latent variables
- text mining
- latent topics
- co occurrence
- latent topic models
- generative model
- probabilistic model
- relevance feedback
- gibbs sampling
- variational inference
- probabilistic latent semantic analysis
- object recognition
- text corpora
- artificial intelligence
- probabilistic topic models
- real world
- graphical models
- bag of words
- information retrieval systems