Ranking Based Item Selection Approach from Online Products

Title: Ranking Based Item Selection Approach from Online Products
Publisher: Guru Nanak Publications
ISSN: 2278-0947
Series: Volume 4 Issue 1
Authors: G. V. N. Swetha, AP. Sivakumar


Abstract

The method involving figuring out, gathering, setting up, and also which represents the actual applicable information in a very area while using examine involving existing programs and also the growth histories, understanding grabbed through area authorities, root concept, and also rising technological know-how within the area. Within this cardstock, all of us found a recommender technique applying rank process in which is built to accomplishing area investigation. Existing approaches used mining and recommender systems for domain analysis in this a ranking technique is added to it. The results show the improvement to existing approaches.

Keywords

Association rule mining, Clustering, Domain analysis, k-nearest neighbor, Recommender systems, Standard ranking.

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