Recommendation System for E-Commerce using Cluster Based Collaborative System |
Author(s): |
| Saravanan.T , GKM College of Engineering and technology; K.Rajaram, GKM college of engg&tech |
Keywords: |
| E-Commerce, Clustering, Collaborative Filtering, Recommendation System, Agglomerative Hierarchical Clustering |
Abstract |
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To huge development of Internet technologies, an increasing of service-relevant data and information as become too big to handle by recommended system. So, we can use Clustering along with Item Collaborative filtering Approach. Technically, these approaches can be split into two levels. In first level, available services are divided among cluster and each cluster has similar services. At the second level, Item Based Collaborative Filtering Approach is applied on one of the cluster. This approach is used to analyze the user-item matrix to identify relationships between different items. In this paper, to evaluate our results and compare them to the Agglomerative Hierarchal Clustering (AHC) algorithm to reduce the execution time of the available web services. |
Other Details |
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Paper ID: IJSRDV3I50240 Published in: Volume : 3, Issue : 5 Publication Date: 01/08/2015 Page(s): 311-314 |
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