Cold-start, warm-start and everything in between: An autoencoder based approach to recommendation.
Angshul MajumdarAnant JainPublished in: IJCNN (2017)
Keyphrases
- cold start
- recommender systems
- cold start problem
- collaborative filtering
- data sparsity
- tag recommendation
- personalized recommendation
- user preferences
- implicit feedback
- music recommendation
- user ratings
- matrix factorization
- data sparseness
- recommendation algorithms
- transfer learning
- relevance feedback
- semi supervised