TPR: Text-aware Preference Ranking for Recommender Systems.
Yu-Neng ChuangChih-Ming ChenChuan-Ju WangMing-Feng TsaiYuan FangEe-Peng LimPublished in: CIKM (2020)
Keyphrases
- recommender systems
- preference learning
- user preferences
- collaborative filtering
- pairwise comparisons
- user feedback
- implicit feedback
- personal preferences
- ranking algorithm
- text mining
- web search
- text retrieval
- cross media retrieval
- pairwise comparison
- keywords
- user similarity
- textual features
- evaluation metrics
- multiple criteria
- information overload
- information filtering
- link analysis
- user modeling
- cold start problem
- user profiles
- user profiling
- learning to rank
- ordinal regression
- web documents
- language model
- rating prediction
- trust propagation