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dc.contributor.authorSharma, Shubham
dc.contributor.authorSharma, Chetan
dc.date.accessioned2023-12-15T10:43:30Z
dc.date.available2023-12-15T10:43:30Z
dc.date.issued2022-01
dc.identifier.urihttp://10.10.11.6/handle/1/12455
dc.description.abstractRecommendation systems have made discovering the things simple that one need. Movie recommendation systems target helping movies devotees by recommending what movies to observe without having to go through the long process of choosing from a large set of movies that go up to thousands and millions that is time-consuming and confusing. This research aims to lessen human exertion by proposing motion pictures dependent on the client's advantages. To handle such problems, a model is introduced that combines both content-based and collaborative approaches. It will give logically express results contrasted with various frameworks that depend on a content-based approach. Content-based proposal frameworks are compelled to individuals, these frameworks don't endorse things out of the container, along these lines restricting your decision to investigate more. In short, the proposed model focus on a framework that is able to address the issues of existing approaches.en_US
dc.language.isoen_USen_US
dc.publisherGALGOTIAS UNIVERSITYen_US
dc.subjectComputer Science, Engineering, MOVIE RECOMMENDATION,en_US
dc.titleMOVIE RECOMMENDATION SYSTEM USING COMBINATION OF CONTENT-BASED AND COLLABORATIVE APPROACHESen_US
dc.typeTechnical Reporten_US


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