20 citations · 31 across the 31 of their papers we have counts for
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cs.IR2023
A Counterfactual Collaborative Session-based Recommender System
Wenzhuo Song, Shoujin Wang, Yan Wang +3
Most session-based recommender systems (SBRSs) focus on extracting information from the observed items in the current session of a user to predict a next item, ignoring the causes…
cs.IR2022★ 1 cited
Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective
Weijieying Ren, Lei Wang, Kunpeng Liu +3
Recommender systems learn from historical user-item interactions to identify preferred items for target users. These observed interactions are usually unbalanced following a long-t…
cs.IR2022★ 2 cited
Online POI Recommendation: Learning Dynamic Geo-Human Interactions in Streams
Dongjie Wang, Kunpeng Liu, Hui Xiong +1
In this paper, we focus on the problem of modeling dynamic geo-human interactions in streams for online POI recommendations. Specifically, we formulate the in-stream geo-human inte…