An Alternative Product Extraction Method for E-Commerce Applications

dc.authoridKoyuncu, Murat/0000-0003-1958-5945
dc.authorwosidKoyuncu, Murat/C-9407-2017
dc.contributor.authorKoyuncu, Murat
dc.contributor.otherInformation Systems Engineering
dc.date.accessioned2024-10-06T10:57:09Z
dc.date.available2024-10-06T10:57:09Z
dc.date.issued2007
dc.departmentAtılım Universityen_US
dc.department-tempAtilim Univ, Dept Comp Engn, Ankara, Turkeyen_US
dc.descriptionKoyuncu, Murat/0000-0003-1958-5945en_US
dc.description.abstractCustomers generally like to see alternative products and compare their characteristics and prices before deciding on one of them. Therefore, proposing alternative products is one of the crucial issues for e-commerce applications to increase customer satisfaction. This paper proposes a fuzzy similarity-based approach to determine similar products recorded in a database and submit them intelligently to the customer in a ranked way as alternative products.en_US
dc.description.woscitationindexConference Proceedings Citation Index - Science
dc.identifier.citationcount0
dc.identifier.endpage401en_US
dc.identifier.isbn9780769529325
dc.identifier.startpage397en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14411/8681
dc.identifier.wosWOS:000250954300080
dc.institutionauthorKoyuncu, Murat
dc.language.isoenen_US
dc.publisherIeee Computer Socen_US
dc.relation.ispartof18th International Conference on Database and Expert Systems Applications -- SEP 03-07, 2007 -- Univ Regensburg, Regensburg, GERMANYen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject[No Keyword Available]en_US
dc.titleAn Alternative Product Extraction Method for E-Commerce Applicationsen_US
dc.typeConference Objecten_US
dc.wos.citedbyCount0
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscovery948643aa-7723-4c65-8da8-fcc884405cd1
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