Sistem Rekomendasi Menggunakan Algoritma Item-Based Collaborative Filtering pada Toko Online

Orlando, Youngky (2019) Sistem Rekomendasi Menggunakan Algoritma Item-Based Collaborative Filtering pada Toko Online. Tugas Akhir thesis, University of Technology Yogyakarta.

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Online Store is an application for buying and selling products through the website. E-commerce is commonly used to sell a product online, moreover an e-commerce web that is one of the popular ones, because of daily shopping needs. A lot of products are in an e-commerce; this makes a user who is still a beginner feels confused when choosing which products are needed. In addition, users can also experience confusion in finding info on the rating of the product they want to buy.To overcome this problem, a recommender system is used, which aims to provide advice or recommendations for a products to customers or users. Item based collaborative filtering (CF), a method that provides recommendations by calculating the similarity value between items and calculated is the rating giving by the users. After calculating the similarity value, what is done next is calculating the predictive value of items that have not been rated by the user, and the results of the predicted values will later be used recommendations for the user. The end result is to be able to sell item accurately when carrying out a sales transaction. Keywords: e-commerce, recommender system, item-based, collaborative filtering

Item Type: Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir)
Subjects: T Technology > T Technology (General)
Divisions: Fakultas Teknologi Informasi dan Elektro > S1 Informatika
Depositing User: Kaprodi S1 Informatika UTY
Date Deposited: 06 Apr 2019 05:33
Last Modified: 06 Apr 2019 05:33

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