9789813224735 medium

Time-Aware Conversion Prediction for E-Commerce (eBook)

by (Author)

  • 37,391 Words
  • 152 Pages

<!-- <description> -->

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.

<!-- </description> -->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
<!-- </contents> -->
<!-- <readership> -->Readership: Researchers, academics, professionals and graduate students in databases, artificial intelligence and pattern recognition.<!-- </readership> -->
Keywords:Multi-Touch Attribution;Computational Advertising;Survival AnalysisReview:0

<!-- <description> -->

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.

<!-- </description> -->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
<!-- </contents> -->
<!-- <readership> -->Readership: Researchers, academics, professionals and graduate students in databases, artificial intelligence and pattern recognition.<!-- </readership> -->
Keywords:Multi-Touch Attribution;Computational Advertising;Survival AnalysisReview:0


  • 0
    0
  • 1
    1
  • 2
    2
  • 3
    3
  • 4
    4
  • 5
    5
  • 6
    6
  • 7
    7
  • 8
    8
  • 9
    9
  • 0
    0
  • 1
    1
  • 2
    2
  • 3
    3
  • 4
    4
  • 5
    5
  • 6
    6
  • 7
    7
  • 8
    8
  • 9
    9
  • 0
    0
  • 1
    1
  • 2
    2
  • 3
    3
  • 4
    4
  • 5
    5
  • 6
    6
  • 7
    7
  • 8
    8
  • 9
    9
:
  • 0
    0
  • 1
    1
  • 2
    2
  • 3
    3
  • 4
    4
  • 5
    5
  • 6
    6
  • 7
    7
  • 8
    8
  • 9
    9
  • 0
    0
  • 1
    1
  • 2
    2
  • 3
    3
  • 4
    4
  • 5
    5
  • 6
    6
  • 7
    7
  • 8
    8
  • 9
    9
:
  • 0
    0
  • 1
    1
  • 2
    2
  • 3
    3
  • 4
    4
  • 5
    5
  • 6
    6
  • 7
    7
  • 8
    8
  • 9
    9
  • 0
    0
  • 1
    1
  • 2
    2
  • 3
    3
  • 4
    4
  • 5
    5
  • 6
    6
  • 7
    7
  • 8
    8
  • 9
    9
Average Reading Time Login to Personalize

Time-Aware Conversion Prediction for E-Commerce

No reviews were found. Please log in to write a review if you've read this book.

Item added to cart

9789813224735 bookshelf
Time-Aware Conversion ...
wendi ji ...
$94.00
QTY: 1

9789813224735 bookshelf

Write a Review for Time-Aware Conversion Prediction for E-Commerce

by wendi ji, xiaoling wang, aoying zhou

Average Rating:
×

Time-Aware Conversion Prediction for E-Commerce has been added

Time-Aware Conversion Prediction for E-Commerce has been added to your wish list.

Ok