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: CIKM (2020)
Keyphrases
- transfer learning
- cold start
- recommender systems
- data sparsity
- collaborative filtering
- cold start problem
- knowledge transfer
- matrix factorization
- machine learning
- user preferences
- search queries
- labeled data
- learning algorithm
- cross domain
- information retrieval
- implicit feedback
- semi supervised learning
- text classification
- information retrieval systems
- text mining
- active learning
- image retrieval
- reinforcement learning
- machine learning algorithms
- user model
- recommendation systems
- information overload
- personalized recommendation
- user profiles
- unlabeled data
- query expansion
- training set