A Recommendation System in E-Commerce with Profit-Support Fuzzy Association Rule Mining (P-FARM)

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dc.authoridDOGAN, ONUR/0000-0003-3543-4012
dc.contributor.authorDogan, Onur
dc.date.accessioned2024-03-09T18:48:47Z
dc.date.available2024-03-09T18:48:47Z
dc.date.issued2023
dc.departmentİzmir Bakırçay Üniversitesien_US
dc.description.abstractE-commerce is snowballing with advancements in technology, and as a result, understanding complex transactional data has become increasingly important. To keep customers engaged, e-commerce systems need to have practical product recommendations. Some studies have focused on finding the most frequent items to recommend to customers. However, this approach fails to consider profitability, a crucial aspect for companies. From the researcher's perspective, this study introduces a novel method called Profit-supported Association Rule Mining with Fuzzy Theory (P-FARM), which goes beyond just recommending frequent items and considers a company's profit while making product suggestions. P-FARM is an advanced data mining technique that creates association rules by finding the most profitable items in frequent item sets. From the practitioners' standpoints, this method helps companies make better decisions by providing them with more profitable products with fewer rules. The results of this study show that P-FARM can be a powerful tool for improving e-commerce sales and maximizing profit for businesses.en_US
dc.identifier.doi10.3390/jtaer18020043
dc.identifier.endpage847en_US
dc.identifier.issn0718-1876
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85163596042en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage831en_US
dc.identifier.urihttps://doi.org/10.3390/jtaer18020043
dc.identifier.urihttps://hdl.handle.net/20.500.14034/1475
dc.identifier.volume18en_US
dc.identifier.wosWOS:001015351900001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherMdpien_US
dc.relation.ispartofJournal of Theoretical and Applied Electronic Commerce Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectRecommendation Systems; Fuzzy Association Rule; Profit-Support; Profit-Confidence; E-Commerceen_US
dc.titleA Recommendation System in E-Commerce with Profit-Support Fuzzy Association Rule Mining (P-FARM)en_US
dc.typeArticleen_US

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