Conversion Rate Forecasting
Conversion Rate Forecasting is a predictive analytics method that estimates the future proportion of users or interactions leading to a desired outcome within digital engagement platforms, distinguished by its focus on modeling temporal patterns and behavioral indicators to anticipate conversion performance.
24
Publications
1K
Citations
75
Authors
35
Institutions
Publications per year
2017–2026
11
Parents
24
Modeling delayed feedback in display advertising
Olivier Chapelle · 2014 · 167 citations
On-line Prediction and Conversion Strategies
Nicolò Cesa‐Bianchi, Yoav Freund, David P. Helmbold et al. · Machine Learning · 1996 · 68 citations · Full text
1–5 of 24
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Pohang University of Science and Technology, South Korea
2 publications · 71 citations
2
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1–5 of 75
35
University of California, Santa Cruz
Santa Cruz, United States
2 h-index
4 publications
204 citations
The University of Texas at Austin
Austin, United States
2 h-index
4 publications
496 citations

University of Milan
Milan, Italy
2 h-index
2 publications
102 citations
AT&T (United States)
Bedminster, United States
2 h-index
2 publications
102 citations
Georgia Institute of Technology
Atlanta, United States
2 h-index
2 publications
248 citations
Adobe Systems (United States)
San Jose, United States
2 h-index
6 publications
213 citations
Yonsei University
Seoul, South Korea
2 h-index
2 publications
71 citations
University of Portsmouth
Portsmouth, United Kingdom
2 h-index
4 publications
205 citations
1–8 of 35
2 publications · 102 citations
2
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ASJ · 1 publications · 12 citations
1
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1 publications · 85 citations
1
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1 publications · 205 citations
1
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TKDE · 1 publications · 39 citations
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1–5