HYBRID RECOMMENDATION SYSTEM MEMANFAATKAN PENGGALIAN FREQUENT ITEMSET DAN PERBANDINGAN KEYWORD

• المؤلف الرئيسي: PARWITA, WAYAN GEDE SUKA
• التنسيق: Theses and Dissertations NonPeerReviewed
• منشور في: [Yogyakarta] : Universitas Gadjah Mada 2015
• الموضوعات: Information and Computing Sciences; Information System
• الوصول للمادة أونلاين: https://repository.ugm.ac.id/134519/; http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=77200

Recommendation system was commonly built by manipulating item ranking data and user identity data. Item ranking data was a rare data on newly constructed system. Whereas, giving identity data to the recommendation system can cause concern about identity data misuse. Hybrid recommendation system used...