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Towards preprocessing guidelines for neural network embedding of customer behavior in digital retail

Cirqueira, Douglas orcid logoORCID: 0000-0002-1283-0453, Helfert, Markus orcid logoORCID: 0000-0001-6546-6408 and Bezbradica, Marija orcid logoORCID: 0000-0001-9366-5113 (2019) Towards preprocessing guidelines for neural network embedding of customer behavior in digital retail. In: ISCSIC 2019: 3rd International Symposium on Computer Science and Intelligent Control, 25-27 Sept 2019, Amsterdam, Netherlands. ISBN 978-1-4503-7661-7

Shopping transactions in digital retailing platforms enable retailers to understand customers’ needs for providing personalized experiences. Researchers started modeling transaction data through neural network embedding, which enables unsupervised learning of contextual similarities between attributes in shopping transactions. However, every study brings different approaches for embedding customer’s transactions, and clear preprocessing guidelines are missing. This paper reviews the recent literature of neural embedding for customer behavior and brings three main contributions. First, we provide a set of guidelines for preprocessing and modeling consumer transaction data to learn neural network embeddings. Second, it is introduced a multi-task Long Short-Term Memory Network to evaluate the guidelines proposed through the task of purchase behavior prediction. Third, we present a multi-contextual visualization of customer behavior embeddings, and its usefulness for purchase prediction and fraud detection applications. Results achieved illustrate accuracies above 40%, 60%, and 80% for predicting the next days, hours, and products purchased for some customers in a dataset composed of online grocery shopping transactions.
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Additional Information:Article No. 35
Uncontrolled Keywords:Customer Behavior; Neural Embedding; Word2Vec; LSTM; Digital Retail
Subjects:Computer Science > Machine learning
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Institutes and Centres > Lero: The Irish Software Engineering Research Centre
Published in: Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control. ISCSIC 2019 . Association for Computing Machinery. ISBN 978-1-4503-7661-7
Publisher:Association for Computing Machinery
Official URL:http://dx.doi.org/10.1145/3386164.3389092
Copyright Information:© 2019
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:European Union Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 765395, Science Foundation Ireland grant 13/RC/2094
ID Code:24645
Deposited On:18 Jun 2020 11:17 by Douglas Da Rocha cirqueira . Last Modified 28 Mar 2022 09:48

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