A Classification Framework Towards Application of Data Mining in Collaborative Filtering

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Author(s): Neeti Sangwan (Maharaja Surajmal Institute of Technology, India)and Naveen Dahiya (Maharaja Surajmal Institute of Technology, India)
Copyright: 2017
Pages: 15
Source title: Collaborative Filtering Using Data Mining and Analysis
Source Author(s)/Editor(s): Vishal Bhatnagar (Ambedkar Institute of Advanced Communication Technologies and Research, India)
DOI: 10.4018/978-1-5225-0489-4.ch005

Keywords: Data Mining / Data Mining and Databases / Information Science Reference / Library & Information Science

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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.

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A Classification Framework Towards Application of Data Mining in Collaborative Filtering

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