JIT_V4_N2_RP4 K. Jabeer Hussain P. Srinivasa Reddi K. Ramani Journal on Information Technology 2277-5250 4 2 27 32 Clustering, Collaborative Filtering, Recommendations, Big Data, Mash Up Data Set 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. March - May 2015 Copyright © 2015 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=3390