PRTNets: Cold-Start Recommendations Using Pairwise Ranking and Transfer Networks.
Dylan M. ValerioProspero C. NavalPublished in: ACIIDS (1) (2020)
Keyphrases
- cold start
- pairwise
- tag recommendation
- recommender systems
- implicit feedback
- cold start problem
- collaborative filtering
- data sparsity
- item recommendation
- user preferences
- user feedback
- personalized recommendation
- learning to rank
- recommendation systems
- matrix factorization
- transfer learning
- eye tracking
- web search
- social networks
- user behavior
- user ratings
- data sparseness
- loss function
- ranking algorithm
- recommendation algorithms
- relevance feedback
- semi supervised
- reinforcement learning