8 citations · 12 across the 14 of their papers we have counts for
7 papers · 1 filter
SWaT: Statistical Modeling of Video Watch Time through User Behavior Analysis
Shentao Yang, Haichuan Yang, Linna Du +5
The significance of estimating video watch time has been highlighted by the rising importance of (short) video recommendation, which has become a core product of mainstream social…
Modeling Sequences as Star Graphs to Address Over-smoothing in Self-attentive Sequential Recommendation
Bo Peng, Ziqi Chen, Srinivasan Parthasarathy +1
Self-attention (SA) mechanisms have been widely used in developing sequential recommendation (SR) methods, and demonstrated state-of-the-art performance. However, in this paper, we…
Towards Efficient and Effective Adaptation of Large Language Models for Sequential Recommendation
Bo Peng, Ben Burns, Ziqi Chen +2
In recent years, with large language models (LLMs) achieving state-of-the-art performance in context understanding, increasing efforts have been dedicated to developing LLM-enhance…
Multi-modality Meets Re-learning: Mitigating Negative Transfer in Sequential Recommendation
Bo Peng, Srinivasan Parthasarathy, Xia Ning
Learning effective recommendation models from sparse user interactions represents a fundamental challenge in developing sequential recommendation methods. Recently, pre-training-ba…
Recursive Attentive Methods with Reused Item Representations for Sequential Recommendation
Bo Peng, Srinivasan Parthasarathy, Xia Ning
Sequential recommendation aims to recommend the next item of users' interest based on their historical interactions. Recently, the self-attention mechanism has been adapted for seq…
Hybrid Collaborative Filtering Models for Clinical Search Recommendation
Zhiyun Ren, Bo Peng, Titus K. Schleyer +1
With increasing and extensive use of electronic health records, clinicians are often under time pressure when they need to retrieve important information efficiently among large am…