News Recommendation Based on Collaborative Semantic Topic Models and Recommendation Adjustment.
Yu-Shan LiaoJun-Yi LuDuen-Ren LiuPublished in: ICMLC (2019)
Keyphrases
- topic models
- topic modeling
- latent dirichlet allocation
- latent semantics
- text documents
- news articles
- latent topics
- latent variables
- collaborative filtering
- generative model
- probabilistic model
- co occurrence
- semantic information
- text mining
- latent topic models
- gibbs sampling
- recommender systems
- natural language
- probabilistic topic models
- keywords
- probabilistic latent semantic analysis
- databases
- social media
- bayesian networks
- latent factors
- machine learning