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20232026
most citedRepresentation Learning with Large Language Models for Recommendation

215 citations · 227 across the 15 of their papers we have counts for

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5 papers · 1 filter

cs.IR2025

An Efficient Framework for Whole-Page Reranking via Single-Modal Supervision

Zishuai Zhang, Sihao Yu, Wenyi Xie +5

The whole-page reranking plays a critical role in shaping the user experience of search engines, which integrates retrieval results from multiple modalities, such as documents, ima…

cs.CL2025

Leveraging Generative Models for Real-Time Query-Driven Text Summarization in Large-Scale Web Search

Zeyu Xiong, Yixuan Nan, Li Gao +4

In the dynamic landscape of large-scale web search, Query-Driven Text Summarization (QDTS) aims to generate concise and informative summaries from textual documents based on a give…

cs.IR2025

CTR-Guided Generative Query Suggestion in Conversational Search

Erxue Min, Hsiu-Yuan Huang, Xihong Yang +7

Generating effective query suggestions in conversational search requires aligning model outputs with user preferences, which is challenging due to sparse and noisy click signals. W…

cs.CL2025

Proactive Guidance of Multi-Turn Conversation in Industrial Search

Xiaoyu Li, Xiao Li, Li Gao +5

The evolution of Large Language Models (LLMs) has significantly advanced multi-turn conversation systems, emphasizing the need for proactive guidance to enhance users' interactions…

cs.IR2025

Hgformer: Hyperbolic Graph Transformer for Recommendation

Xin Yang, Xingrun Li, Heng Chang +8

The cold start problem is a challenging problem faced by most modern recommender systems. By leveraging knowledge from other domains, cross-domain recommendation can be an effectiv…