An Algorithm to Improve Accuracy of Recommendation System |
Author(s): |
| Radha pathak , Swaminarayan institute of technology and engineering; Hitul patel, Swaminarayan institute of technology and engineering |
Keywords: |
| Recommendation system, collaborative filtering technique Ty Co, User-based algorithm, Item-based algorithm implementation |
Abstract |
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Recommender system is a new technology which are the most recently used over the internet. It apply KDD process to analyse recommendation for information ,items or services during a active interaction. There are various techniques and algorithms used for recommender systems. In this paper we discuss collaborative filtering technique Tyco using the relations among users groups and item groups,Cluster based data mining k-means algorithm, Map reduce for speed up computing and aprior algorithm. Item-based techniques first recognized the user matrix to identify relationships between items and then use those relationships indirectly to evaluate recommendation for use. Item based algorithm has lower time cost than other CF methods. Further, it can obtain more accurate predictions with less number of big data error predictions. |
Other Details |
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Paper ID: IJSRDV4I30971 Published in: Volume : 4, Issue : 3 Publication Date: 01/06/2016 Page(s): 883-887 |
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