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M. Zhang

129 papers hereh-index 133134.6k citations6k works total

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

author position
  • first author24
  • middle author70
  • last author32

Across the 126 of 129 papers where every author was matched, so the position is known.

fields
  • cs.CL21
  • cs.IR18
  • cs.CV14
  • gr-qc14
  • math.NA7
  • cs.LG6
same name
  • M. Zhang — 77 papers
  • M. Zhang — 44 papers
  • M. Zhang — 43 papers
  • M. Zhang — 39 papers, h 31
  • M. Zhang — 19 papers, h 46
  • M. Zhang — 18 papers, h 7

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
20082023
most citedA Survey on the Fairness of Recommender Systems

359 citations · 2k across the 127 of their papers we have counts for

collaborators
Showing 2023 · cs.IRShow all

4 papers · 2 filters

cs.IR2023★ 4 cited

Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community

Qingyao Ai, Ting Bai, Zhao Cao +30

The research field of Information Retrieval (IR) has evolved significantly, expanding beyond traditional search to meet diverse user information needs. Recently, Large Language Mod…

cs.IR2023★ 11 cited

Unbiased Delayed Feedback Label Correction for Conversion Rate Prediction

Yifan Wang, Peijie Sun, Min Zhang +3

Conversion rate prediction is critical to many online applications such as digital display advertising. To capture dynamic data distribution, industrial systems often require retra…

cs.IR2023★ 1 cited

THUIR2 at NTCIR-16 Session Search (SS) Task

Weihang Su, Xiangsheng Li, Yiqun Liu +2

Our team(THUIR2) participated in both FOSS and POSS subtasks of the NTCIR-161 Session Search (SS) Task. This paper describes our approaches and results. In the FOSS subtask, we sub…

cs.IR2023

Intent-aware Ranking Ensemble for Personalized Recommendation

Jiayu Li, Peijie Sun, Zhefan Wang +5

Ranking ensemble is a critical component in real recommender systems. When a user visits a platform, the system will prepare several item lists, each of which is generally from a s…

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