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: LREC/COLING (2024)
Keyphrases
- cold start
- recommender systems
- collaborative filtering
- cold start problem
- supervised learning
- learning algorithm
- information overload
- web content
- user context
- data sparsity
- recommendation systems
- semantic information
- user preferences
- user experience
- contextual information
- semantic knowledge
- recommendation algorithms
- learning process
- machine learning
- matrix factorization
- user generated content
- implicit feedback
- user ratings
- context aware
- user interface
- information retrieval