Clustering and Recommending Services based on ClubCF approach for Big Data Application

K. Jabeer Hussain*, P. Srinivasa Reddi**, Kasarapu Ramani***
* M.Tech Scholar, Department of Information Technology, Sree vidyanikethan Engineering College, India.
** Associate Professor, Department of Information Technology, Sree vidyanikethan Engineering College, India.
*** Professor & Head, Department of Information Technology, Sree vidyanikethan Engineering College, India.
Periodicity:March - May'2015
DOI : https://doi.org/10.26634/jit.4.2.3390

Abstract

The number of services emerging on the Internet are generating huge amount of data leading to big data. Storing such data using traditional storage approaches is impractical which can be solved using Big Table capable of storing number of services in the form of multi dimensional sorted map again searching for a services and to recommend it to the new users requires large computations. In the present work theses problems are solved by using the Clustering based Collaborative Filtering (ClubCF) approach and Mash Up data set with 6888 services along with their description and their functionality is considered for Clustering with the help of Agglomerative hierarchical clustering algorithm.

Keywords

Clustering, Collaborative Filtering, Recommendations, Big Data, Mash Up Data Set

How to Cite this Article?

Hussain. K. J, Reddi. P. S and Ramani. K (2015). Clustering and Recommending Services based on ClubCF approach for Big Data Application. i-manager’s Journal on Information Technology, 4(2), 27-32. https://doi.org/10.26634/jit.4.2.3390

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