Development of Multi Criteria Recommender System

International Journal of Economics and Management Studies

© 2017 by SSRG - IJEMS Journal

Volume 4 Issue 1

Year of Publication : 2017

Authors : Dr.R.Surendiran

10.14445/23939125/IJEMS-V4I1P106

How to Cite?

Dr.R.Surendiran, "Development of Multi Criteria Recommender System," SSRG International Journal of Economics and Management Studies, vol. 4,  no. 1, pp. 31-35, 2017. Crossref, https://doi.org/10.14445/23939125/IJEMS-V4I1P106

Abstract:

Present days in internet information overhead problems are available. Any user is search the information display the large amount of results. These results are not comes under personalization results [1][4]. It is possible to gets the less number of recommendations here. There are no sufficient possibilities for selection of attributes for items. We are provides the rating based on background history. These types of items are not gives the quality results here. Now here we are identifies the learning behavior of new interested attributes. We are provided the opportunity for search results [5][6]. Every time update the attributes information for each and every item. This is called as a multi class classification procedure. In all number of attributes applies the recommendations and calculate the rating. All Attributes of rating here it is combining and provides aggregated rating of item. These kinds of aggregation rating give the good quality items. This result is available to users as flexibility. All users expected results here we are provided. Numbers of recommendations are increases and automatically increases the quality. It can get the good influence.

Keywords:

Recommendation System, Learning System, Multiclass classification, Decision making applications.

References:

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