A Recommender Model Based on Trust Value and Time Decay: Improve the Quality of Product Rating Score in E-Commerce Platforms

dc.authorscopusid 57202300706
dc.authorscopusid 6507328166
dc.contributor.author Işik,M.
dc.contributor.author Daǧ,H.
dc.date.accessioned 2024-10-15T19:41:54Z
dc.date.available 2024-10-15T19:41:54Z
dc.date.issued 2017
dc.department Kadir Has University en_US
dc.department-temp Işik M., Institute of Science and Engineering, Kadir Has University, Istanbul, Turkey; Daǧ H., Management Information Systems, Kadir Has University, Istanbul, Turkey en_US
dc.description Cisco; Elsevier; IEEE; IEEE Computer Society; The Mit Press en_US
dc.description.abstract Most of the existing products rating score algorithms do not take fake accounts and time decay of users' ratings into account when creating the list of recommendations. The trust values and the time decay of users' ratings to an item may improve the quality of product rating score in e-commerce platforms, especially when it is thought that nowadays the majority of customers read the reviews before making a purchase. In this paper, we first introduce the concept trust value of users by explaining its mathematical definition and redefine the product rating score based on users' trust relationship. Then we calculate the product rating score based on time decay by making the concept time decay clear. After that we execute both algorithms together in order to show their both effects on the quality of product rating score. Finally, we present experimentally effectiveness of three approaches on a large real dataset. © 2017 IEEE. en_US
dc.identifier.citationcount 3
dc.identifier.doi 10.1109/BigData.2017.8258140
dc.identifier.endpage 1955 en_US
dc.identifier.isbn 978-153862714-3
dc.identifier.scopus 2-s2.0-85041431152
dc.identifier.startpage 1946 en_US
dc.identifier.uri https://doi.org/10.1109/BigData.2017.8258140
dc.identifier.uri https://hdl.handle.net/20.500.12469/6484
dc.identifier.volume 2018-January en_US
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation.ispartof Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017 -- 5th IEEE International Conference on Big Data, Big Data 2017 -- 11 December 2017 through 14 December 2017 -- Boston -- 134260 en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 3
dc.subject Rating Score en_US
dc.subject Recommender Systems en_US
dc.subject Time Decay en_US
dc.subject Trust Rank en_US
dc.title A Recommender Model Based on Trust Value and Time Decay: Improve the Quality of Product Rating Score in E-Commerce Platforms en_US
dc.type Conference Object en_US
dspace.entity.type Publication

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