Collaborative Filtering Based Data Mining for Large Data

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Author(s): Amrit Pal (Indian Institute of Information Technology Allahabad, India)and Manish Kumar (Indian Institute of Information Technology Allahabad, India)
Copyright: 2017
Pages: 13
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.ch006

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

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Abstract

Size of data is increasing, it is creating challenges for its processing and storage. There are cluster based techniques available for storage and processing of this huge amount of data. Map Reduce provides an effective programming framework for developing distributed program for performing tasks which results in terms of key value pair. Collaborative filtering is the process of performing recommendation based on the previous rating of the user for a particular item or service. There are challenges while implementing collaborative filtering techniques using these distributed models. Some techniques are available for implementing collaborative filtering techniques using these models. Cluster based collaborative filtering, map reduce based collaborative filtering are some of these techniques. Chapter addresses these techniques and some basics of collaborative filtering.

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Collaborative Filtering Based Data Mining for Large Data

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