BAMBOOK: PERSONALIZED BOOK RECOMMENDATION AND ENGAGEMENT PLATFORM

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dc.contributor.authorNurtayev, Nurzhan
dc.contributor.authorSaiynov, Dias
dc.contributor.authorShayakhmet, Yeldar
dc.contributor.authorAmanbek, Dauren
dc.contributor.authorShayakhmet, Shakhnazar
dc.date.accessioned2024-06-13T10:41:52Z
dc.date.available2024-06-13T10:41:52Z
dc.date.issued2024-04-19
dc.description.abstractIn this report we are going to present a developed book recommendation mobile application system “BamBook”. Purpose of BamBook is to address the gap in digital platforms offering comprehensive book recommendations. Our mobile application is powered by Go, Python and Swift programming languages, while utilising Google’s YouTube Retrieval model for recommendation feature, trained on GoodReads dataset. In the process of development, we encountered challenges mostly in choosing, integrating the model, handling extensive datasets and optimising for the iOS platform. Our system architecture was improved and an iterative method was used to overcome these problems. Although our product still needs more improvements in both back and front parts, evaluation from user’s shows that BamBook meets our main objective which is to provide for users an application with easily understandable interface and relevant recommendation.en_US
dc.identifier.citationNurtayev, N. (2024). BamBook: Personalized Book Recommendation and Engagement Platform. Nazarbayev University School of Engineering and Digital Sciencesen_US
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/7856
dc.language.isoenen_US
dc.publisherNazarbayev University School of Engineering and Digital Sciencesen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectType of access: Open accessen_US
dc.subjectBook Recommendationen_US
dc.subjectMachine Learning modelen_US
dc.subjectMobile applicationen_US
dc.titleBAMBOOK: PERSONALIZED BOOK RECOMMENDATION AND ENGAGEMENT PLATFORMen_US
dc.typeBachelor's thesisen_US
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