dc.contributor.author | Sharma, Shubham | |
dc.contributor.author | Sharma, Chetan | |
dc.date.accessioned | 2023-12-15T10:43:30Z | |
dc.date.available | 2023-12-15T10:43:30Z | |
dc.date.issued | 2022-01 | |
dc.identifier.uri | http://10.10.11.6/handle/1/12455 | |
dc.description.abstract | Recommendation 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.iso | en_US | en_US |
dc.publisher | GALGOTIAS UNIVERSITY | en_US |
dc.subject | Computer Science, Engineering, MOVIE RECOMMENDATION, | en_US |
dc.title | MOVIE RECOMMENDATION SYSTEM USING COMBINATION OF CONTENT-BASED AND COLLABORATIVE APPROACHES | en_US |
dc.type | Technical Report | en_US |