Journal of Innovation in Computer Science and Engineering
  • Year: 2014
  • Volume: 4
  • Issue: 1

Ranking Based Item Selection Approach from Online Products

  • Author:
  • G. V. N. Swetha, AP. Sivakumar
  • Total Page Count: 4
  • Page Number: 51 to 54

Department of Computer Science and Engineering, Jawaharlal Nehru Technological University, Ananthapur, India

*e-mail: Gvnswetha28@gmail.com

**Sivakumar.ap@gmail.com

Online published on 27 June, 2017.

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