Transform Cold-Start Users into Warm via Fused Behaviors in Large-Scale Recommendation.
Pengyang LiRong ChenQuan LiuJian XuBo ZhengPublished in: SIGIR (2022)
Keyphrases
- cold start
- recommender systems
- cold start problem
- collaborative filtering
- data sparsity
- tag recommendation
- user ratings
- recommendation algorithms
- implicit feedback
- user preferences
- matrix factorization
- personalized recommendation
- recommendation systems
- item based collaborative filtering
- recommendation quality
- user interests
- social tagging systems
- information overload
- user model
- prediction accuracy
- user profiles
- music recommendation
- item recommendation
- information seeking
- user experience
- eye tracking
- transfer learning
- information sources