Title	A survey on data mining and machine learning techniques for internet voting and product/service selection
Author	Mr. Y. Subba Reddy and Prof. P. Govindarajulu
Citation	Vol. 17  No. 9  pp. 76-84
Keywords	Internet voting, Data mining, Clustering, Recommender system, Collaborative filtering, similarity measures.

Title	Enhancing the Effectiveness of clustering using User Preferences and Voting/Rating
Author	Y. Subba Reddy, Dr. V. Tanuja and Prof. P. Govindarajulu
Citation	Vol. 17  No. 9  pp. 85-94
Keywords	Similarity between objects, similarity search computations, top-k queries, reverse top-k queries, and other k-nearest neighbor queries, database queries, database operations, attribute values, customer voting/rating/preferences.

Title	An Efficient User Centric Clustering Approach for Product Recommendation Based on Majority Voting: A Case Study on Wine Data Set
Author	Y. Subba Reddy and Prof. P. Govindarajulu
Citation	Vol. 17  No. 10  pp. 103-111
Keywords	User-centric, clustering, preference/voting/ranking, wine dataset

Title	College Recommender system using student’ preferences/voting: A system development with empirical study
Author	Mr. Y. Subba Reddy and Prof. P. Govindarajulu
Citation	Vol. 18  No. 1  pp. 87-98
Keywords	recommender system, voting, weighted cluster, top-k query, reverse top-k query, multi-dimensional index tree