Web-Based Intelligent Book Recommendation System Under Smart Campus Applications

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dc.authorscopusid57202924825
dc.authorscopusid58657194600
dc.authorscopusid58658070200
dc.contributor.authorDogan O.
dc.contributor.authorTokumaci S.
dc.contributor.authorHiziroglu O.A.
dc.date.accessioned2024-03-09T19:39:55Z
dc.date.available2024-03-09T19:39:55Z
dc.date.issued2024
dc.departmentİzmir Bakırçay Üniversitesien_US
dc.description12th International Symposium on Intelligent Manufacturing and Service Systems, IMSS 2023 -- 26 May 2023 through 28 May 2023 -- -- 302369en_US
dc.description.abstractRecommendation systems are essential as they help users to discover new books and resources and increase their engagement and satisfaction, thus improving the overall learning experience. This paper presents a web-based intelligent book recommendation system for smart campus applications at Izmir Bakircay University. The system is designed as an intelligent hybrid tool that combines collaborative and content-based filtering techniques to recommend books to users with methodological differences. It considers the user’s reading history and preferences and integrates with other smart campus applications to provide personalized recommendations. The system is important for the digital transformation of smart campuses as it helps to make education more personalized, efficient, and data-driven. Also, it allows for the effective use of public resources. The effectiveness of the system was evaluated through user feedbacks, 22 users evaluated 148 books and the results showed that users responded positively to about 70% of the recommended books thus, it provided accurate and personalized recommendations. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.en_US
dc.identifier.doi10.1007/978-981-99-6062-0_6
dc.identifier.endpage57en_US
dc.identifier.isbn9789819960613
dc.identifier.issn2195-4356
dc.identifier.scopus2-s2.0-85174634326en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage46en_US
dc.identifier.urihttps://doi.org/10.1007/978-981-99-6062-0_6
dc.identifier.urihttps://hdl.handle.net/20.500.14034/1540
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofLecture Notes in Mechanical Engineeringen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectbook recommendation; intelligent system; smart campus; web applicationen_US
dc.subjectCollaborative filtering; Intelligent systems; Metadata; Websites; Book recommendation; Collaborative-based filtering; Content based filtering; Filtering technique; Learning experiences; Personalized recommendation; Smart campus; WEB application; Web applications; Web based; Recommender systemsen_US
dc.titleWeb-Based Intelligent Book Recommendation System Under Smart Campus Applicationsen_US
dc.typeConference Objecten_US

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