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20112025
most citedSelf-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs

46 citations · 156 across the 29 of their papers we have counts for

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8 papers · 1 filter

cs.IR2025

AgentDR: Dynamic Recommendation with Implicit Item-Item Relations via LLM-based Agents

Mingdai Yang, Nurendra Choudhary, Jiangshu Du +4

Recent agent-based recommendation frameworks aim to simulate user behaviors by incorporating memory mechanisms and prompting strategies, but they struggle with hallucinating non-ex…

cs.IR2024★ 5 cited

STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases

Shirley Wu, Shiyu Zhao, Michihiro Yasunaga +7

Answering real-world complex queries, such as complex product search, often requires accurate retrieval from semi-structured knowledge bases that involve blend of unstructured (e.g…

cs.IR2024★ 5 cited

An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce

Nurendra Choudhary, Edward W Huang, Karthik Subbian +1

The problem of search relevance in the E-commerce domain is a challenging one since it involves understanding the intent of a user's short nuanced query and matching it with the ap…

cs.IR2023★ 2 cited

ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding

Zixuan Liu, Gaurush Hiranandani, Kun Qian +5

Developing text mining approaches to mine aspects from customer reviews has been well-studied due to its importance in understanding customer needs and product attributes. In contr…

cs.IR2023★ 10 cited

Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation

Wei Jin, Haitao Mao, Zheng Li +17

Modeling customer shopping intentions is a crucial task for e-commerce, as it directly impacts user experience and engagement. Thus, accurately understanding customer preferences i…

cs.IR2022★ 1 cited

Search Behavior Prediction: A Hypergraph Perspective

Yan Han, Edward W Huang, Wenqing Zheng +3

Although the bipartite shopping graphs are straightforward to model search behavior, they suffer from two challenges: 1) The majority of items are sporadically searched and hence h…

cs.IR2022

Text Enriched Sparse Hyperbolic Graph Convolutional Networks

Nurendra Choudhary, Nikhil Rao, Karthik Subbian +1

Heterogeneous networks, which connect informative nodes containing text with different edge types, are routinely used to store and process information in various real-world applica…

cs.IR2022★ 16 cited

Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Chandan K. Reddy, Lluís Màrquez, Fran Valero +6

Improving the quality of search results can significantly enhance users experience and engagement with search engines. In spite of several recent advancements in the fields of mach…