POSO: Personalized Cold Start Modules for Large-scale Recommender Systems.
Shangfeng DaiHaobin LinZhichen ZhaoJianying LinHonghuan WuZhe WangSen YangJi LiuPublished in: CoRR (2021)
Keyphrases
- cold start
- recommender systems
- personalized recommendation
- cold start problem
- user modeling
- user profiles
- collaborative filtering
- user model
- matrix factorization
- data sparsity
- user profiling
- user preferences
- recommendation algorithms
- information overload
- product recommendation
- music recommendation
- personalized services
- implicit feedback
- recommendation quality
- user context
- item based collaborative filtering
- user ratings
- context aware
- user feedback
- eye tracking
- semi supervised