Using Topic Models in Content-Based News Recommender Systems.
Tapio LuostarinenOskar KohonenPublished in: NODALIDA (2013)
Keyphrases
- topic models
- recommender systems
- news recommendation
- collaborative filtering
- topic modeling
- information filtering
- latent dirichlet allocation
- news articles
- content based filtering
- text documents
- latent variables
- probabilistic model
- matrix factorization
- text mining
- latent topics
- image retrieval
- gibbs sampling
- user profiles
- co occurrence
- generative model
- latent topic models
- implicit feedback
- graphical models
- latent factors
- social media
- author topic model
- pitman yor process