A Classification Framework Towards Application of Data Mining in Collaborative Filtering

Author:

Sangwan Neeti1,Dahiya Naveen1

Affiliation:

1. Maharaja Surajmal Institute of Technology, India

Abstract

Recommendation making is an important part of the information and e-commerce ecosystem. Recommendation represent a powerful method that filter large amount of information to provide relevant choice to end users. To provide recommendations to the users, efficient and cost effective methods needs to be introduced. Collaborative filtering is an emerging technique used in making recommendations which makes use of filtering by data mining. This chapter presents a classification framework on the use of data mining techniques in collaborative filtering to extract the best recommendations to the users on the basis of their interests.

Publisher

IGI Global

Reference22 articles.

1. Esslimani, I., Brun, A., & Boyer, A. (2009). A collaborative filtering approach combining clustering and navigational based correlations. In Web Information Systems and Technologies (pp. 364-369).

2. A Scalable Collaborative Filtering Framework Based on Co-Clustering

3. A Collaborative Filtering Recommendation Algorithm Based on User Clustering and Item Clustering

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