Doubly Label Consistent Autoencoder: Accounting User and Item Metadata in Recommender Systems.
Shantanu JainAngshul MajumdarPublished in: IJCNN (2018)
Keyphrases
- recommender systems
- user preferences
- metadata
- collaborative filtering
- cold start problem
- active user
- item recommendation
- user ratings
- cold start
- recommendation algorithms
- personalized recommendation
- matrix factorization
- user model
- user similarity
- user profiles
- user profiling
- recommendation systems
- making recommendations
- personal preferences
- user interests
- recommendation quality
- user interaction
- item based collaborative filtering
- databases
- information overload
- user behavior
- hybrid recommendation
- multimedia
- user modeling
- user modelling
- end users
- digital libraries
- implicit feedback
- database
- user feedback
- latent factor models
- class labels
- online dating
- long tail
- data sparsity
- helping users
- user experience
- learning objects
- user interface
- compound critiques