Time-Aware Conversion Prediction for E-Commerce

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: IntroductionBasic Conversion Prediction ModelsModeling of the Conversion DelayTime-Aware Conversion PredictionMulti-Touch Attribution Analysis in Online AdvertisingAccumulative MTA Analysis in Online AdvertisingConclusions
Readership: Researchers, academics, professionals and graduate students in databases, artificial intelligence and pattern recognition.
Keywords:Multi-Touch Attribution;Computational Advertising;Survival AnalysisReview:0