Fahma : Jurnal Informatika Komputer, Bisnis dan Manajemen
Vol 17 No 1 (2019): Januari 2019

PERBANDINGAN METODE COLLABORATIVE FILTERING DAN HYBRID JIANG-CONRATH

Imam Fahrurrozi (Program Studi Komputer dan Sistem Informasi/Departemen Teknik Elektro dan Informatika/Sekolah Vokasi, Universitas Gadjah Mada, Indonesia)
Alviska Galuh Nurwana (Program Studi Komputer dan Sistem Informasi/Departemen Teknik Elektro dan Informatika/Sekolah Vokasi, Universitas Gadjah Mada, Indonesia)

Article Info

Publish Date
20 Nov 2023

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.

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Journal Info
Fahma : Jurnal Informatika Komputer, Bisnis dan Manajemen
Website

Abbrev

fahma

Publisher

Sekolah Tinggi Ilmu Komputer El Rahma

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Engineering

Description

Jurnal FAHMA adalah jurnal yang memuat naskah ilmiah dari peneliti, akademisi, maupun praktisi, berupa hasil penelitian, tinjauan pustaka ( literature review ) dan/atau bentuk karya tulis ilmiah lainnya, yang khusus mengkaji bidang Ilmu Komputer antara lain sebagai berikut : Kecerdasan Buatan, ...