E-commerce Website Recommender System Based on Dissimilarity and Association Rule

By analyzing the current electronic commerce recommendation algorithm analysis, put forward a kind to use dissimilarity clustering and association recommendation algorithm, the algorithm realized web website shopping user data clustering by use of the dissimilarity, and then use the association rule...

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Main Authors: Zhang, LiFeng (Author), Yang, ShuWen (Author), Zhang, MingWang (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2014-01-01.
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LEADER 01926 am a22002893u 4500
001 ijeecs3012_1021
042 |a dc 
100 1 0 |a Zhang, LiFeng  |e author 
100 1 0 |e contributor 
700 1 0 |a Yang, ShuWen  |e author 
700 1 0 |a Zhang, MingWang  |e author 
245 0 0 |a E-commerce Website Recommender System Based on Dissimilarity and Association Rule 
260 |b Institute of Advanced Engineering and Science,   |c 2014-01-01. 
520 |a By analyzing the current electronic commerce recommendation algorithm analysis, put forward a kind to use dissimilarity clustering and association recommendation algorithm, the algorithm realized web website shopping user data clustering by use of the dissimilarity, and then use the association rules algorithm for clustering results of association recommendation, experiments show that the algorithm compared with traditional clustering association algorithm of iteration times decrease, improve operational efficiency, to prove the method by use of the actual users purchase the recommended, and evidence of the effectiveness of the algorithm in recommendation. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.4002 
540 |a Copyright (c) 2013 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc-nd/4.0 
546 |a eng 
690 |a Dissimilarity; clustering; association rules; the electronic commerce recommendation 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 12, No 1: January 2014; 353-360 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v12.i1 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3012/1021 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3012/1021  |z Get fulltext