Author(s): R. Venu Babu, | K. Srinivas, | S. Anjali Devi
Journal: International Journal of Engineering Science and Technology
ISSN 0975-5462
Volume: 2;
Issue: 11;
Start page: 6585;
Date: 2010;
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Keywords: Collaborative filter | Recommendation Systems | Clustering.
ABSTRACT
In modern E-Commerce it is not easy for customers to find the best suitable goods of their interest as more and more information is placed on line (like movies, audios, books, documents etc...). So in order to provide most suitable information of high value to customers of an e-commerce business system, a customized recommender system is required. Collaborative Filtering has become a popular technique for reducing this information overload. While traditional collaborative filtering systems have been a substantial success, there are several problems that researchers and commercial applications have identified: the early rater problem, the sparsity problem, and the scalability problem. This paper contains literature survey on cluster based collaborative filter and an approach to construct it.
Journal: International Journal of Engineering Science and Technology
ISSN 0975-5462
Volume: 2;
Issue: 11;
Start page: 6585;
Date: 2010;
VIEW PDF
DOWNLOAD PDF Original pageKeywords: Collaborative filter | Recommendation Systems | Clustering.
ABSTRACT
In modern E-Commerce it is not easy for customers to find the best suitable goods of their interest as more and more information is placed on line (like movies, audios, books, documents etc...). So in order to provide most suitable information of high value to customers of an e-commerce business system, a customized recommender system is required. Collaborative Filtering has become a popular technique for reducing this information overload. While traditional collaborative filtering systems have been a substantial success, there are several problems that researchers and commercial applications have identified: the early rater problem, the sparsity problem, and the scalability problem. This paper contains literature survey on cluster based collaborative filter and an approach to construct it.
