Deep Learning to Address Candidate Generation and Cold Start Challenges in Recommender Systems: A Research Survey.
Kiran RamaPradeep KumarBharat BhaskerPublished in: CoRR (2019)
Keyphrases
- recommender systems
- cold start
- deep learning
- candidate generation
- cold start problem
- collaborative filtering
- data sparsity
- unsupervised learning
- implicit feedback
- weakly supervised
- matrix factorization
- machine learning
- user profiles
- personalized recommendation
- user preferences
- tag recommendation
- recommendation algorithms
- information overload
- decision trees
- mental models
- user feedback
- information extraction
- user ratings
- user behavior
- search engine