373 citations · 441 across the 9 of their papers we have counts for
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cs.AI2020
PrivNet: Safeguarding Private Attributes in Transfer Learning for Recommendation
Guangneng Hu, Qiang Yang
Transfer learning is an effective technique to improve a target recommender system with the knowledge from a source domain. Existing research focuses on the recommendation performa…
cs.AI2019★ 9 cited
Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text
Guangneng Hu, Yu Zhang, Qiang Yang
Collaborative filtering (CF) is the key technique for recommender systems (RSs). CF exploits user-item behavior interactions (e.g., clicks) only and hence suffers from the data spa…