Leveraging Cross Feedback of User and Item Embeddings for Variational Autoencoder based Collaborative Filtering.
Yuan JinHe ZhaoMing LiuLan DuYunfeng LiRuohua XuLongxiang GaoPublished in: CoRR (2020)
Keyphrases
- collaborative filtering
- user preferences
- recommender systems
- user ratings
- item recommendation
- user feedback
- cold start problem
- active user
- collaborative filtering recommendation algorithm
- making recommendations
- personalized recommendation
- recommendation algorithms
- cold start
- recommendation systems
- matrix factorization
- user profiles
- recommendation quality
- relevance feedback
- user interests
- web page recommendation
- user similarity
- user specific
- pearson correlation coefficient
- implicit feedback
- hybrid recommendation
- feedback mechanisms
- user behavior
- online dating
- product recommendation
- content based filtering
- item based collaborative filtering
- rating prediction
- user interface
- visual feedback
- feedback information
- data sparsity
- transfer learning
- user interaction
- dimensionality reduction
- end users
- image segmentation
- latent factor models
- demographic information
- user satisfaction
- implicit relevance feedback
- optical flow
- user item rating