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20232026
most citedEnhancing Recommender Systems with Large Language Model Reasoning Graphs

13 citations · 42 across the 18 of their papers we have counts for

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5 papers · 1 filter

cs.IR2026

SLSREC: Self-Supervised Contrastive Learning for Adaptive Fusion of Long- and Short-Term User Interests

Wei Zhou, Yue Shen, Junkai Ji +5

User interests typically encompass both long-term preferences and short-term intentions, reflecting the dynamic nature of user behaviors across different timeframes. The uneven tem…

cs.IR2026

Navigating Ideation Space: Decomposed Conceptual Representations for Positioning Scientific Ideas

Yuexi Shen, Minqian Liu, Dawei Zhou +1

Scientific discovery requires new ideas to be situated within an ever-expanding landscape of existing knowledge. An emerging challenge is how to identify conceptually relevant prio…

cs.IR2025

GroupRank: A Groupwise Paradigm for Effective and Efficient Passage Reranking with LLMs

Meixiu Long, Duolin Sun, Dan Yang +12

Large Language Models (LLMs) have emerged as powerful tools for passage reranking in information retrieval, leveraging their superior reasoning capabilities to address the limitati…

cs.IR2023★ 11 cited

Leveraging Large Language Models for Pre-trained Recommender Systems

Zhixuan Chu, Hongyan Hao, Xin Ouyang +9

Recent advancements in recommendation systems have shifted towards more comprehensive and personalized recommendations by utilizing large language models (LLM). However, effectivel…

cs.IR2023★ 13 cited

Enhancing Recommender Systems with Large Language Model Reasoning Graphs

Yan Wang, Zhixuan Chu, Xin Ouyang +10

Recommendation systems aim to provide users with relevant suggestions, but often lack interpretability and fail to capture higher-level semantic relationships between user behavior…