research-article

Estimating product-choice probabilities from recency and frequency of page views

Authors:

Naoki Nishimura,

Noriyoshi Sukegawa,

Yuichi TakanoAuthors Info & Claims

Knowledge-Based Systems, Volume 99, Issue C

Pages 157 - 167

https://doi.org/10.1016/j.knosys.2016.02.006

Published: 01 May 2016 Publication History

Abstract

This paper investigates the relationship between customers' page views (PVs) and the probabilities of their product choices on e-commerce sites. For this purpose, we create a probability table consisting of product-choice probabilities for all recency and frequency combinations of each customers' previous PVs. To reduce the estimation error when there are few training samples, we develop optimization models for estimating the product-choice probabilities that satisfy monotonicity, convexity and concavity constraints with respect to recency and frequency. Computational results demonstrate that our method has clear advantages over logistic regression and kernel-based support vector machine.

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Cited By

Cirqueira DHofer MNedbal DHelfert MBezbradica M(2019)Customer Purchase Behavior Prediction in E-commerce: A Conceptual Framework and Research AgendaNew Frontiers in Mining Complex Patterns10.1007/978-3-030-48861-1_8(119-136)Online publication date: 16-Sep-2019
https://dl.acm.org/doi/10.1007/978-3-030-48861-1_8
Nishimura NSukegawa NTakano YIwanaga J(2018)A latent-class model for estimating product-choice probabilities from clickstream dataInformation Sciences: an International Journal10.1016/j.ins.2017.11.014429:C(406-420)Online publication date: 1-Mar-2018
https://dl.acm.org/doi/10.1016/j.ins.2017.11.014
Baumann AHaupt JGebert FLessmann S(2018)Changing perspectivesExpert Systems with Applications: An International Journal10.1016/j.eswa.2017.10.04694:C(137-148)Online publication date: 15-Mar-2018
https://dl.acm.org/doi/10.1016/j.eswa.2017.10.046

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Published In

cover image Knowledge-Based Systems

Knowledge-Based Systems Volume 99, Issue C

May 2016

201 pages

ISSN:0950-7051

Issue’s Table of Contents

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 May 2016

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Cited By

Cirqueira DHofer MNedbal DHelfert MBezbradica M(2019)Customer Purchase Behavior Prediction in E-commerce: A Conceptual Framework and Research AgendaNew Frontiers in Mining Complex Patterns10.1007/978-3-030-48861-1_8(119-136)Online publication date: 16-Sep-2019
https://dl.acm.org/doi/10.1007/978-3-030-48861-1_8
Nishimura NSukegawa NTakano YIwanaga J(2018)A latent-class model for estimating product-choice probabilities from clickstream dataInformation Sciences: an International Journal10.1016/j.ins.2017.11.014429:C(406-420)Online publication date: 1-Mar-2018
https://dl.acm.org/doi/10.1016/j.ins.2017.11.014
Baumann AHaupt JGebert FLessmann S(2018)Changing perspectivesExpert Systems with Applications: An International Journal10.1016/j.eswa.2017.10.04694:C(137-148)Online publication date: 15-Mar-2018
https://dl.acm.org/doi/10.1016/j.eswa.2017.10.046

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