@inproceedings{8f84abdcc47642728a9e0b71cb768ccf,
title = "Customer purchase behavior prediction in e-commerce: A conceptual framework and research agenda",
abstract = "Digital retailers are experiencing an increasing number of transactions coming from their consumers online, a consequence of the convenience in buying goods via E-commerce platforms. Such interactions compose complex behavioral patterns which can be analyzed through predictive analytics to enable businesses to understand consumer needs. In this abundance of big data and possible tools to analyze them, a systematic review of the literature is missing. Therefore, this paper presents a systematic literature review of recent research dealing with customer purchase prediction in the E-commerce context. The main contributions are a novel analytical framework and a research agenda in the field. The framework reveals three main tasks in this review, namely, the prediction of customer intents, buying sessions, and purchase decisions. Those are followed by their employed predictive methodologies and are analyzed from three perspectives. Finally, the research agenda provides major existing issues for further research in the field of purchase behavior prediction online.",
keywords = "Behavior analytics, Consumer behavior, Data mining, Digital retail, E-commerce, Machine learning, Purchase prediction, Behavior analytics, Consumer behavior, Data mining, Digital retail, E-commerce, Machine learning, Purchase prediction",
author = "Douglas Cirqueira and Markus Hofer and Dietmar Nedbal and Markus Helfert and Marija Bezbradica",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2020. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 8th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2019, held in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2019 ; Conference date: 16-09-2019 Through 16-09-2019",
year = "2020",
doi = "10.1007/978-3-030-48861-1_8",
language = "English",
isbn = "9783030488604",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "119--136",
editor = "Michelangelo Ceci and Corrado Loglisci and Giuseppe Manco and Elio Masciari and Zbigniew Ras",
booktitle = "New Frontiers in Mining Complex Patterns - 8th International Workshop, NFMCP 2019, held in Conjunction with ECML-PKDD 2019, Revised Selected Papers",
address = "Germany",
}
