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PENERAPAN ALGORITMA COLABORATIVE FILTERING UNTUK PEMBERIAN REKOMENDASI PADA PRODUK KAIN TENUN (Studi Kasus Kain Tenun Parengan)

Joutica

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Title PENERAPAN ALGORITMA COLABORATIVE FILTERING UNTUK PEMBERIAN REKOMENDASI PADA PRODUK KAIN TENUN (Studi Kasus Kain Tenun Parengan)
 
Creator Sholihin, Miftahus
 
Subject Data Mining, e comerce
e-commerce, similarity, prediction
Data Mining
 
Description Electronic commerce (e-commerce) is a concept that can be described as a process of buying and selling goods on the internet or the process of buying and selling or exchange of products, services, and information through information networks including the Internet. In developing e-commerce should be able to provide recommendations to customers. This recommendation aims to provide an overview of information about products that are considered in accordance with the wishes of customers. The method used in this research is Item Based Collaborative Filtering, where the system will look for similarity purchase model (similarity item) With others. The system will search for ratings between items by level The similarities exist. Once the item-to-item rating is obtained, this rating will be used to calculate the value Similarity between items using the Adjusted Cosine Similarity approach. The last process is to calculate the rating prediction value that customers have never done to a particular item. This approach uses Weigted Sum formula results from predicted value will be made recommendations to customers
 
Publisher Universitas Islam Lamongan
 
Contributor
 
Date 2017-08-28
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier https://jurnalteknik.unisla.ac.id/index.php/informatika/article/view/27
10.30736/jti.v2i1.27
 
Source Jouticla; Vol 2, No 1 (2017): Jurnal Informatika UNISLA
Joutica; Vol 2, No 1 (2017): Jurnal Informatika UNISLA
2621-511X
2503-071X
10.30736/jti.v2i1
 
Language ind
 
Relation https://jurnalteknik.unisla.ac.id/index.php/informatika/article/view/27/pdf
 
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