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A RECOMMENDATION SYSTEM IN WEB-BASED APPLICATION FOR VENDOR EVENT ORGANIZER USING MACHINE LEARNING

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dc.contributor.author Hafsah, Siti
dc.date.accessioned 2024-10-11T03:15:37Z
dc.date.available 2024-10-11T03:15:37Z
dc.date.issued 2023
dc.identifier.uri http://repository.president.ac.id/xmlui/handle/123456789/11866
dc.description.abstract At various important moments, such as weddings, birthday parties, or other large- scale events, these events are not easy to organize on your own, so the event organizer is very important. Event organizers can help make the event happen properly and smoothly because they have experience and crew who help run the event, so it will run more easily than if you have to do everything yourself. The difficulty of finding the closest and best event organizer vendor with a review is one of the factors contributing to problems for people who want to use vendors. Therefore, the solution proposed in this final project is to create a web-based application that can recommend users to choose a vendor organizer by using the recommendations given by machine learning with Collaborative Filtering User- based and K- Nearest Neighbors (KNN) Classification. en_US
dc.language.iso en_US en_US
dc.publisher President University en_US
dc.relation.ispartofseries Information Technologies;001201900028
dc.title A RECOMMENDATION SYSTEM IN WEB-BASED APPLICATION FOR VENDOR EVENT ORGANIZER USING MACHINE LEARNING en_US
dc.type Thesis en_US


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