41 citations · 114 across the 12 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
cs.IR2024★ 9 cited
Modeling User Fatigue for Sequential Recommendation
Nian Li, Xin Ban, Cheng Ling +6
Recommender systems filter out information that meets user interests. However, users may be tired of the recommendations that are too similar to the content they have been exposed…
cs.AI2024★ 12 cited
Uncovering the Deep Filter Bubble: Narrow Exposure in Short-Video Recommendation
Nicholas Sukiennik, Chen Gao, Nian Li
Filter bubbles have been studied extensively within the context of online content platforms due to their potential to cause undesirable outcomes such as user dissatisfaction or pol…
cs.LG2024★ 16 cited
Large Language Model-driven Meta-structure Discovery in Heterogeneous Information Network
Lin Chen, Fengli Xu, Nian Li +4
Heterogeneous information networks (HIN) have gained increasing popularity in recent years for capturing complex relations between diverse types of nodes. Meta-structures are propo…