314 citations · 336 across the 11 of their papers we have counts for
5 papers · 1 filter
Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering
Xi Wu, Liangwei Yang, Jibing Gong +4
Collaborative filtering (CF) is a widely employed technique that predicts user preferences based on past interactions. Negative sampling plays a vital role in training CF-based mod…
MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System
Liangwei Yang, Shen Wang, Jibing Gong +4
Knowledge graph (KG) enhanced recommendation has demonstrated improved performance in the recommendation system (RecSys) and attracted considerable research interest. Recently the…
Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks
Jibing Gong, Yao Wan, Ye Liu +8
Massive open online courses (MOOCs), which offer open access and widespread interactive participation through the internet, are quickly becoming the preferred method for online and…
Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors
Christina Göpfert, Alex Haig, Yinlam Chow +7
Interactive recommender systems have emerged as a promising paradigm to overcome the limitations of the primitive user feedback used by traditional recommender systems (e.g., click…
W-RNN: News text classification based on a Weighted RNN
Dan Wang, Jibing Gong, Yaxi Song
Most of the information is stored as text, so text mining is regarded as having high commercial potential. Aiming at the semantic constraint problem of classification methods based…