Improving Content Recommendation: Knowledge Graph-Based Semantic Contrastive Learning for Diversity and Cold-Start Users.
Yejin KimScott RomeKevin FoleyMayur NankaniRimon MelamedJavier MoralesAbhay YadavMaria PeiferSardar HamidianH. Howie HuangPublished in: CoRR (2024)
Keyphrases
- cold start
- recommender systems
- collaborative filtering
- cold start problem
- data sparsity
- reinforcement learning
- user experience
- natural language
- information overload
- user interests
- personalized recommendation
- recommendation algorithms
- user generated content
- recommendation systems
- website
- semantic information
- user preferences
- active learning
- learning process
- matrix factorization
- semantic knowledge
- web documents
- user ratings
- tag recommendation
- user interaction
- personalized services
- user context