SCALABLE COLLABORATIVE FILTERING RECOMMENDATIONS USING DIVISIVE HIERARCHICAL CLUSTERING APPROACH
S. Saint Jesudoss · 2013
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 divisive hierarchical clustering approach to overcome this scalability issue when more number of users increases in terms of neighborhood size.