Pseudo-Implicit Feedback for Alleviating Data Sparsity in Top-K Recommendation.
Yun HeHaochen ChenZiwei ZhuJames CaverleePublished in: CoRR (2019)
Keyphrases
- implicit feedback
- data sparsity
- collaborative filtering
- matrix factorization
- recommender systems
- cold start
- cold start problem
- recommendation quality
- explicit feedback
- personalized recommendation
- query processing
- recommendation systems
- item recommendation
- hybrid recommendation
- recommendation algorithms
- user feedback
- eye tracking
- user behavior
- user preferences
- transfer learning
- user ratings
- missing data
- user profiles
- query expansion
- feature space