24 citations · 28 across the 4 of their papers we have counts for
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cs.IR2022
Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations
Yan Zhang, Changyu Li, Ivor W. Tsang +5
Cold-start issues have been more and more challenging for providing accurate recommendations with the fast increase of users and items. Most existing approaches attempt to solve th…
cs.IR2020★ 24 cited
TFNet: Multi-Semantic Feature Interaction for CTR Prediction
Shu Wu, Feng Yu, Xueli Yu +5
The CTR (Click-Through Rate) prediction plays a central role in the domain of computational advertising and recommender systems. There exists several kinds of methods proposed in t…