Predicting the category of customers' next product to buy in web shops

Laura Rekasiute; Alvaro Jose Jimenez Palenzuela; Nijole Salnaite; Ramon Carrera Cuenca; Flavius Frasincar

doi:10.1145/3477314.3506984

Predicting the category of customers' next product to buy in web shops

Laura Rekasiute, Alvaro Jose Jimenez Palenzuela, Nijole Salnaite, Ramon Carrera Cuenca, Flavius Frasincar

Econometrics

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

Abstract

Recommender systems are widely used by online retailers to entice customers into making new purchases. Understanding and predicting customer behavior is thus of utmost importance to retailers. In this paper our main goal is to predict the next product category that a certain customer will buy given his/her purchase history. We propose a Sequential Event Prediction model that captures both general and customer-specific consumption behavior through confidence rules. We use anonymized purchasing data from a Web shop in the Netherlands to show empirically that our approach outperforms several models proposed in the literature.

Original language	English
Title of host publication	Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, SAC 2022
Publisher	Association for Computing Machinery
Pages	1862-1871
Number of pages	10
ISBN (Electronic)	9781450387132
DOIs	https://doi.org/10.1145/3477314.3506984
Publication status	Published - 25 Apr 2022
Event	37th ACM/SIGAPP Symposium on Applied Computing, SAC 2022 - Virtual, Online Duration: 25 Apr 2022 → 29 Apr 2022

Publication series

Series	Proceedings of the ACM Symposium on Applied Computing

Conference

Conference	37th ACM/SIGAPP Symposium on Applied Computing, SAC 2022
City	Virtual, Online
Period	25/04/22 → 29/04/22

Bibliographical note

Publisher Copyright:
© 2022 ACM.

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10.1145/3477314.3506984

Cite this

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title = "Predicting the category of customers' next product to buy in web shops",

abstract = "Recommender systems are widely used by online retailers to entice customers into making new purchases. Understanding and predicting customer behavior is thus of utmost importance to retailers. In this paper our main goal is to predict the next product category that a certain customer will buy given his/her purchase history. We propose a Sequential Event Prediction model that captures both general and customer-specific consumption behavior through confidence rules. We use anonymized purchasing data from a Web shop in the Netherlands to show empirically that our approach outperforms several models proposed in the literature.",

author = "Laura Rekasiute and Palenzuela, {Alvaro Jose Jimenez} and Nijole Salnaite and Cuenca, {Ramon Carrera} and Flavius Frasincar",

note = "Publisher Copyright: {\textcopyright} 2022 ACM.; 37th ACM/SIGAPP Symposium on Applied Computing, SAC 2022 ; Conference date: 25-04-2022 Through 29-04-2022",

year = "2022",

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doi = "10.1145/3477314.3506984",

language = "English",

series = "Proceedings of the ACM Symposium on Applied Computing",

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booktitle = "Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, SAC 2022",

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Rekasiute, L, Palenzuela, AJJ, Salnaite, N, Cuenca, RC & Frasincar, F 2022, Predicting the category of customers' next product to buy in web shops. in Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, SAC 2022. Association for Computing Machinery, Proceedings of the ACM Symposium on Applied Computing, pp. 1862-1871, 37th ACM/SIGAPP Symposium on Applied Computing, SAC 2022, Virtual, Online, 25/04/22. https://doi.org/10.1145/3477314.3506984

Predicting the category of customers' next product to buy in web shops. / Rekasiute, Laura; Palenzuela, Alvaro Jose Jimenez; Salnaite, Nijole et al.
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, SAC 2022. Association for Computing Machinery, 2022. p. 1862-1871 (Proceedings of the ACM Symposium on Applied Computing).

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

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Predicting the category of customers' next product to buy in web shops

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