Traffic Allocation Planning
Traffic Allocation Planning is a methodological framework within experiment duration planning that systematically determines the distribution of user traffic across experimental variants to optimize statistical power and minimize decision latency while maintaining experimental validity.
19
Publications
759
Citations
43
Authors
21
Institutions
Publications per year
2017–2026
5
Parents
19
Optimized Cost per Click in Taobao Display Advertising
2017 · 102 citations · Full text
Business, Marketing, Advertising +14
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University of Alberta
Edmonton, Canada
1 h-index
2 publications
44 citations

Philadelphia University
Philadelphia, United States
1 h-index
3 publications
330 citations

Alibaba Group (China)
Hangzhou, China
1 h-index
7 publications
714 citations

Ajou University
Suwon, South Korea
1 h-index
1 publications
33 citations
University of California, Los Angeles
Los Angeles, United States
1 h-index
1 publications
15 citations
Kazan State University of Architecture and Engineering
Kazan’, Russia
1 h-index
3 publications
33 citations
Purdue University West Lafayette
West Lafayette, United States
1 h-index
1 publications
33 citations
Wuhan University of Technology
Wuhan, China
1 h-index
1 publications
62 citations
1–8 of 21
2 publications · 222 citations
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TRR · 1 publications · 26 citations
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1 publications · 11 citations
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Repository · 1 publications · 12 citations
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1 publications · 21 citations
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