15 citations · 17 across the 6 of their papers we have counts for
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cs.IR2026
RAG-Enhanced Large Language Models for Dynamic Content Expiration Prediction in Web Search
Tingyu Chen, Wenkai Zhang, Li Gao +4
In commercial web search, aligning content freshness with user intent remains challenging due to the highly varied lifespans of information. Traditional industrial approaches rely…
cs.IR2025★ 1 cited
Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs
Jiani Huang, Shijie Wang, Liang-bo Ning +4
Recommender systems (RecSys) are widely used across various modern digital platforms and have garnered significant attention. Traditional recommender systems usually focus only on…
cs.IR2025★ 1 cited
Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation
Shijie Wang, Wenqi Fan, Yue Feng +4
Recommender systems have become increasingly vital in our daily lives, helping to alleviate the problem of information overload across various user-oriented online services. The em…