Publications

1.         Kavitha Devi M.K. and Venkatesh P., “IDSS: an intelligent decision support system for e-purchasing using CBR and CF”, International Journal of Agent-Oriented Software Engineering, Vol. 3,  Issue 2/3,   pp.212-229 , March 2009 (Citation in ACM Digital Library).

2.         Kavitha Devi M.K. and Venkatesh P., “ICRS: an intelligent collaborative recommender system for electronic purchasing”, International Journal of Business Excellence, Vol. 2, Issue 2, pp. 179-193, 2009.

3.         Kavitha Devi M.K., Venkatesh P., Benasirsiddiqa N. and Archana R., “An Efficient Approach Based on Trust to Purge the Weakness of Recommendation System”, International Journal of Computer Applications, Vol. 1(25), pp. 13-21, 2010.

4.         Kavitha Devi M.K. and Venkatesh P., “Kernel based Collaborative Filtering System for E-Purchasing”, Sadhana - Academy Proceedings in Engineering Science, Springer, Vol. 35, Part 5, pp. 513–524, October 2010. Impact Factor: 0.276.

5.         Kavitha Devi M.K. and Venkatesh P., “Smoothening approach to Alleviate the Meager rating problem in Collaborative Recommender Systems”, Elsevier International Journal on Future Generation Computer Systems, 2011. Impact Factor: 2.229

1.         Kavitha Devi M.K. and Venkatesh P.,  “Mathematical Approximation for Model Based Recommender System”, Sixth International Conference on Supply Chain Management And Information Systems, December 8-10, pp. 247-251, 2008.

2.         Kavitha Devi M.K., Nagalakshmi S., Rajeswari V. and Venkatesh P., “Alleviating Sparsity Problem in Collaborative Recommendation Using Radial Basis Function Network”, In Proceeding IEEE International Advance Computing Conference, Patiala, India, March 6-7, pp. 1929-1933, 2009.

3.         Kavitha Devi M.K., Venkatesh P., “An Improved Collaborative Recommender System”, First International Conference on Networks & Communications, Chennai, India, December 27-29, pp.386-391, 2009 (Citation in IEEE CS Digital Library).

4.         Kavitha Devi M.K., Venkatesh P., “Probabilistic neural network approach to alleviate sparsity and cold start problems in collaborative Recommender Systems”,IEEE International Conference on Computational Intelligence and Computing Research, Coimbatore, India, pp. 245-248, 2010.