Time-Aware Conversion Prediction for E-Commerce

By: Wendi Ji, Xiaoling Wang, Aoying Zhou

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eText | 18 January 2018

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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.
Keywords:Multi-Touch Attribution;Computational Advertising;Survival AnalysisReview:0