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Imam Fahrurrozi
Program Studi Komputer dan Sistem Informasi/Departemen Teknik Elektro dan Informatika/Sekolah Vokasi, Universitas Gadjah Mada, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Engineering

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PERBANDINGAN METODE COLLABORATIVE FILTERING DAN HYBRID JIANG-CONRATH Imam Fahrurrozi; Alviska Galuh Nurwana
Jurnal Informatika Komputer, Bisnis dan Manajemen Vol 17 No 1 (2019): Januari 2019
Publisher : LPPM STMIK El Rahma Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61805/fahma.v17i1.82

Abstract

Recommender system is a component which has been developed for online commerce purposes. In this issue, one of the popular methods that has been widely used is collaborative filtering. However, this method has some drawbacks and needs to be improved. Therefore, in this research a combination of Collaborative Filtering (CF) and hybrid jiang-conrath method has been compare with original CF, and the result expected reducing some deficiencies on the original collaborative filtering method. Based on the performance tests, the results conclude that the combination can reduce some weaknesses on the original collaborative filtering, especially on the cold-start item and sparsity issue.
Co-Authors Alviska Galuh Nurwana