Combating Selection Biases in Recommender Systems with a Few Unbiased Ratings.
Xiaojie WangRui ZhangYu SunJianzhong QiPublished in: WSDM (2021)
Keyphrases
- recommender systems
- collaborative filtering
- cold start problem
- user preferences
- netflix prize
- personalized recommendation
- user ratings
- product recommendation
- recommendation algorithms
- cold start
- matrix factorization
- implicit feedback
- user profiling
- collaborative filtering algorithms
- collaborative filtering recommender systems
- rating prediction
- data sparsity
- latent factor models
- selection algorithm
- user profiles
- user modeling
- user modelling
- information overload
- recommendation quality
- making recommendations
- trust aware
- spam filtering
- active user
- user interests
- rating matrix