most citedMulti-Aspect Reviewed-Item Retrieval via LLM Query Decomposition and Aspect Fusion

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cs.IR2025

A Simple but Effective Elaborative Query Reformulation Approach for Natural Language Recommendation

Qianfeng Wen, Yifan Liu, Justin Cui +4

Natural Language (NL) recommender systems aim to retrieve relevant items from free-form user queries and item descriptions. Existing systems often rely on dense retrieval (DR), whi…

cs.IR2024

Elaborative Subtopic Query Reformulation for Broad and Indirect Queries in Travel Destination Recommendation

Qianfeng Wen, Yifan Liu, Joshua Zhang +4

In Query-driven Travel Recommender Systems (RSs), it is crucial to understand the user intent behind challenging natural language(NL) destination queries such as the broadly worded…

cs.IR2024★ 1 cited

Multi-Aspect Reviewed-Item Retrieval via LLM Query Decomposition and Aspect Fusion

Anton Korikov, George Saad, Ethan Baron +3

While user-generated product reviews often contain large quantities of information, their utility in addressing natural language product queries has been limited, with a key challe…