Time-Aware Conversion Prediction for E-Commerce
Nonfiction, Computers, Advanced Computing, Theory, Artificial Intelligence, Business & Finance
| Author: | Wendi Ji, Xiaoling Wang, Aoying Zhou;; | ISBN: | 9789813224735 |
| Publisher: | World Scientific Publishing Company | Publication: | January 17, 2018 |
| Imprint: | WSPC | Language: | English |
| Author: | Wendi Ji, Xiaoling Wang, Aoying Zhou;; |
| ISBN: | 9789813224735 |
| Publisher: | World Scientific Publishing Company |
| Publication: | January 17, 2018 |
| Imprint: | WSPC |
| Language: | English |
This unique compendium provides a novel research on how time influences the conversions of advertising and product recommendation in E-commerce. It proposes time-aware conversion prediction models to solve the problem — what products should be recommended for a given period to maximize conversion? The volume also presents a series of researches on how to build data-driven attribution models to allocate the time-sensitive contribution of advertisements to the conversion. This must-have reference text will be invaluable for researchers, professionals, academics and graduate students keen in databases and artificial intelligence.
Contents:
- Introduction
- Basic Conversion Prediction Models
- Modeling of the Conversion Delay
- Time-Aware Conversion Prediction
- Multi-Touch Attribution Analysis in Online Advertising
- Accumulative MTA Analysis in Online Advertising
- Conclusions
Readership: Researchers, academics, professionals and graduate students in databases, artificial intelligence and pattern recognition.
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This unique compendium provides a novel research on how time influences the conversions of advertising and product recommendation in E-commerce. It proposes time-aware conversion prediction models to solve the problem — what products should be recommended for a given period to maximize conversion? The volume also presents a series of researches on how to build data-driven attribution models to allocate the time-sensitive contribution of advertisements to the conversion. This must-have reference text will be invaluable for researchers, professionals, academics and graduate students keen in databases and artificial intelligence.
Contents:
- Introduction
- Basic Conversion Prediction Models
- Modeling of the Conversion Delay
- Time-Aware Conversion Prediction
- Multi-Touch Attribution Analysis in Online Advertising
- Accumulative MTA Analysis in Online Advertising
- Conclusions
Readership: Researchers, academics, professionals and graduate students in databases, artificial intelligence and pattern recognition.
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