Pseudo-Implicit Feedback for Alleviating Data Sparsity in Top-K Recommendation.
Yun HeHaochen ChenZiwei ZhuJames CaverleePublished in: ICDM (2018)
Keyphrases
- implicit feedback
- data sparsity
- collaborative filtering
- matrix factorization
- recommender systems
- cold start
- cold start problem
- personalized recommendation
- explicit feedback
- recommendation quality
- item recommendation
- query processing
- recommendation systems
- user preferences
- missing data
- hybrid recommendation
- user interests
- user feedback
- eye tracking
- user behavior
- recommendation algorithms
- user profiles
- training data
- data mining
- user ratings
- prediction accuracy
- text mining
- decision trees