ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2201.00689
  4. Cited By
CausalMTA: Eliminating the User Confounding Bias for Causal Multi-touch
  Attribution
v1v2 (latest)

CausalMTA: Eliminating the User Confounding Bias for Causal Multi-touch Attribution

Knowledge Discovery and Data Mining (KDD), 2021
21 December 2021
Di Yao
Chang Gong
Lei Zhang
Sheng Chen
Jingping Bi
    CML
ArXiv (abs)PDFHTML

Papers citing "CausalMTA: Eliminating the User Confounding Bias for Causal Multi-touch Attribution"

5 / 5 papers shown
Conversion rate prediction in online advertising: modeling techniques, performance evaluation and future directions
Conversion rate prediction in online advertising: modeling techniques, performance evaluation and future directionsInformation Processing & Management (IPM), 2025
Tao Xue
Yanwu Yang
Panyu Zhai
173
2
0
01 Dec 2025
Beyond Last-Click: An Optimal Mechanism for Ad Attribution
Beyond Last-Click: An Optimal Mechanism for Ad Attribution
Nan An
W. Li
Qi Qi
Changyuan Yu
L. Zhang
76
0
0
28 Nov 2025
See Beyond a Single View: Multi-Attribution Learning Leads to Better Conversion Rate Prediction
See Beyond a Single View: Multi-Attribution Learning Leads to Better Conversion Rate Prediction
Sishuo Chen
Zhangming Chan
Xiang-Rong Sheng
Lei Zhang
Sheng Chen
Chenghuan Hou
Han Zhu
Jian Xu
Bo Zheng
149
4
0
21 Aug 2025
LiDDA: Data Driven Attribution at LinkedIn
LiDDA: Data Driven Attribution at LinkedIn
John Bencina
Erkut Aykutlug
Yue Chen
Zerui Zhang
Stephanie Sorenson
Shao Tang
Changshuai Wei
292
2
0
14 May 2025
DCRMTA: Unbiased Causal Representation for Multi-touch Attribution
DCRMTA: Unbiased Causal Representation for Multi-touch Attribution
Jiaming Tang
CML
339
2
0
16 Jan 2024
1
Page 1 of 1