TDD-BPR: The topic diversity discovering on Bayesian personalized ranking for personalized recommender system.
Chi-Shiang WangBo-Syun ChenJung-Hsien ChiangPublished in: Neurocomputing (2021)
Keyphrases
- personalized ranking
- implicit feedback
- recommender systems
- bayesian analysis
- personalized recommendation
- matrix factorization
- user profiles
- item recommendation
- user interests
- collaborative filtering
- information filtering
- user model
- user behavior
- eye tracking
- product recommendation
- user feedback
- contextual information
- web search
- information overload
- search result
- relevance feedback
- cold start
- topic models
- user preferences
- computationally feasible
- user interface
- data sparsity
- search logs
- latent dirichlet allocation
- user experience
- text mining