• Login
    View Item 
    •   DSpace Home
    • Lecture Papers
    • Lecture Papers International Published Articles
    • View Item
    •   DSpace Home
    • Lecture Papers
    • Lecture Papers International Published Articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Recommendation System Implementation for Partners Exercise in Fitness Center on Fit Partners Design Application Using Hybrid Content-Collaborative Reciprocal Algorithm

    Thumbnail
    View/Open
    RS1605029.pdf (4.912Mb)
    abs.pdf (143.1Kb)
    Date
    2016-04-13
    Author
    Nagara, Herlambang Satya
    Sugianto, Nehemia
    Metadata
    Show full item record
    Abstract
    People often quited exercising due to the lack of exercise partner or the absence of people with similar workout preference. Hybrid content-collaborative reciprocal algorithm searches for users based on the user profile by finding the value of the level of support. First, algorithm will look similar to the current user, called SU (similar users). After that, it will search who have interacted with SU, called CU(candidate users), called EOI. This value is based on indicators the conversation intensity via chat, giving positive emoticons during a conversation via chat, seeing prospective partners profile, sharing the information or tips, comparison of the number of conversations and responses given via chat, similarity of age, gender, workout type, body type, distance, and workout time, giving rating, friends of prospective fitness partners, and sending request as a partners. After testing the accuracy of the algorithm, the success rate is shown to be 50%. This low percentage is due to some of the recommended workout time is not according to the current user time workout, besides that into consideration current users refuse is no clear profile of the user who recommended such as a profile picture and completeness of the data themselves. Hybrid algorithm-content collaborative Reciprocal not use weighting, that one user could have been more like the fellow exercising an age closer to him, but differed with others, it could be because of the similarity of the body. Because of these differences in preferences hybrid algorithm-content collaborative Reciprocal not accommodate the weight of each indicator.
    URI
    http://dspace.uc.ac.id/handle/123456789/744
    Collections
    • Lecture Papers International Published Articles

    Copyright©  2017 - LPPM & Library Of Universitas Ciputra
    »»» UC Town CitraLand, Surabaya - Indonesia 60219 «««
    Powered by : FreeBSD | DSpace | Atmire
     

     

    Browse

    All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    Login

    Copyright©  2017 - LPPM & Library Of Universitas Ciputra
    »»» UC Town CitraLand, Surabaya - Indonesia 60219 «««
    Powered by : FreeBSD | DSpace | Atmire