123 citations · 159 across the 5 of their papers we have counts for
5 papers
Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search
Zhifang Fan, Dan Ou, Yulong Gu +7
Modeling user's historical feedback is essential for Click-Through Rate Prediction in personalized search and recommendation. Existing methods usually only model users' positive fe…
Knowledge-enhanced Session-based Recommendation with Temporal Transformer
Rongzhi Zhang, Yulong Gu, Xiaoyu Shen +1
Recent research has achieved impressive progress in the session-based recommendation. However, information such as item knowledge and click time interval, which could be potentiall…
Neural Interactive Collaborative Filtering
Lixin Zou, Long Xia, Yulong Gu +4
In this paper, we study collaborative filtering in an interactive setting, in which the recommender agents iterate between making recommendations and updating the user profile base…
Building Rule Hierarchies for Efficient Logical Rule Learning from Knowledge Graphs
Yulong Gu, Yu Guan, Paolo Missier
Many systems have been developed in recent years to mine logical rules from large-scale Knowledge Graphs (KGs), on the grounds that representing regularities as rules enables both…
Towards Learning Instantiated Logical Rules from Knowledge Graphs
Yulong Gu, Yu Guan, Paolo Missier
Efficiently inducing high-level interpretable regularities from knowledge graphs (KGs) is an essential yet challenging task that benefits many downstream applications. In this work…