An Empirical Comparison of Customer Behavior Modeling Approaches for Shopping List Prediction

dc.authorid Peker, Serhat/0000-0002-6876-3982
dc.authorwosid Kocyigit, Altan/S-6347-2016
dc.authorwosid Eren, P. Erhan/ABA-4438-2020
dc.authorwosid Peker, Serhat/A-9677-2016
dc.contributor.author Peker, Serhat
dc.contributor.author Kocyigit, Altan
dc.contributor.author Eren, P. Erhan
dc.contributor.other Software Engineering
dc.date.accessioned 2024-10-06T10:58:21Z
dc.date.available 2024-10-06T10:58:21Z
dc.date.issued 2018
dc.department Atılım University en_US
dc.department-temp [Peker, Serhat] Atilim Univ, Dept Software Engn, Ankara, Turkey; [Kocyigit, Altan; Eren, P. Erhan] Middle East Tech Univ, Dept Informat Syst, Ankara, Turkey en_US
dc.description Peker, Serhat/0000-0002-6876-3982 en_US
dc.description.abstract Shopping list prediction is a crucial task for companies as it can enable to provide a specific customer a personalized list of products and improve customer satisfaction and loyalty as well. To predict customer behaviors, many studies in the literature have employed customer behavior modeling approaches which are individual-level and segment-based. However, previous efforts to predict customers' shopping lists have rarely employed these state-of-the-art approaches. In this manner, this paper introduces the segment based approach into the shopping list prediction and then presents an empirical comparison of the individual-level and the segment-based approaches in this problem. For this purpose, well-known machine learning classifiers and customers' purchase history are employed, and the comparison is performed on a real-life dataset by conducting a series of experiments. The results suggest that there is no clear winner in this comparison and the performances of customer behavior modeling approaches depend on the machine learning algorithm employed. The study can help researchers and practitioners to understand different aspects of using customer behavior modeling approaches in the shopping list prediction. en_US
dc.description.woscitationindex Conference Proceedings Citation Index - Science
dc.identifier.citationcount 0
dc.identifier.endpage 1225 en_US
dc.identifier.isbn 9789532330953
dc.identifier.startpage 1220 en_US
dc.identifier.uri https://hdl.handle.net/20.500.14411/8894
dc.identifier.wos WOS:000630901400209
dc.institutionauthor Peker, Serhat
dc.language.iso en en_US
dc.publisher Ieee en_US
dc.relation.ispartof 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) -- MAY 21-25, 2018 -- Opatija, CROATIA en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Shopping list prediction en_US
dc.subject next basket prediction en_US
dc.subject customer behavior models en_US
dc.subject machine learning en_US
dc.subject personalization en_US
dc.title An Empirical Comparison of Customer Behavior Modeling Approaches for Shopping List Prediction en_US
dc.type Conference Object en_US
dc.wos.citedbyCount 0
dspace.entity.type Publication
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