Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval.
Tao WuEllie Ka In ChioHeng-Tze ChengYu DuSteffen RendleDima KuzminRitesh AgarwalLi ZhangJohn R. AndersonSarvjeet SinghTushar ChandraEd H. ChiWen LiAnkit KumarXiang MaAlex SoaresNitin JindalPei CaoPublished in: CoRR (2020)
Keyphrases
- transfer learning
- cold start
- recommender systems
- data sparsity
- collaborative filtering
- cold start problem
- knowledge transfer
- matrix factorization
- machine learning
- cross domain
- personalized recommendation
- text categorization
- user preferences
- semi supervised learning
- text classification
- labeled data
- information retrieval systems
- implicit feedback
- reinforcement learning
- transfer knowledge
- recommendation systems
- information retrieval
- user profiles
- active learning
- image retrieval
- learning to rank
- retrieval model
- information overload
- recommendation algorithms
- user queries
- machine learning algorithms
- tag recommendation
- relevance feedback