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Haiyang Zhang

4 papers hereh-index 6141 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.IR3
  • cs.CL1
same name
  • Haiyang Zhang — 13 papers, h 17
  • Haiyang Zhang — 8 papers, h 5
  • Haiyang Zhang — 7 papers, h 8
  • Haiyang Zhang — 4 papers, h 5
  • Haiyang Zhang — 3 papers, h 3
  • Haiyang Zhang — 3 papers, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232025
most citedAmazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation

10 citations · 10 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2025

EcomScriptBench: A Multi-task Benchmark for E-commerce Script Planning via Step-wise Intention-Driven Product Association

Weiqi Wang, Limeng Cui, Xin Liu +14

Goal-oriented script planning, or the ability to devise coherent sequences of actions toward specific goals, is commonly employed by humans to plan for typical activities. In e-com…

cs.IR2024

Exploring Query Understanding for Amazon Product Search

Chen Luo, Xianfeng Tang, Hanqing Lu +12

Online shopping platforms, such as Amazon, offer services to billions of people worldwide. Unlike web search or other search engines, product search engines have their unique chara…

cs.IR2024

Hierarchical Query Classification in E-commerce Search

Bing He, Sreyashi Nag, Limeng Cui +5

E-commerce platforms typically store and structure product information and search data in a hierarchy. Efficiently categorizing user search queries into a similar hierarchical stru…

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.