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A Imputed Neighborhood based Collaborative Filtering System for Web Personalization
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 19 - Number 8 |
| Year of Publication: 2011 |
| Authors: Suresh Joseph. K, Ravichandran.T |
10.5120/2382-3143
|
Suresh Joseph. K, Ravichandran.T . A Imputed Neighborhood based Collaborative Filtering System for Web Personalization. International Journal of Computer Applications. 19, 8 ( April 2011), 19-23. DOI=10.5120/2382-3143
Abstract
Recommender system is the most important technology in E-commerce .It is used to suggest valuable products for the customer and improve their business intelligence. Collaborative filtering is a technique which is used to suggest information from similar kinds of users. Scalability is the biggest challenge in collaborative filtering recommender system. When more number of users is increasing in the site the system should provide accurate recommendations for the super user. We use Imputed divisive hierarchical clustering approach to overcome this scalability issue when more number of users increases in terms of neighborhood size.
References
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