Nachiketa Sahoo's Home Page

I am a doctoral candidate in Information Systems at the Heinz School of Public Policy and Management, Carnegie Mellon University.

My current research interest is Recommender Systems/Personalization.

That includes 

• algorithms for recommender systems
• issues with recommender system algorithms: spam, privacy implications
• business value of recommender systems

• My second research paper at Heinz School is titled "Experiments with Multi-component Rating Collaborative Filtering for Improved Recommendation (PDF)"
• My MS project at Machine Learning Department at CMU is titled "Incremental Hierarchical Clustering of Text Documents (PDF)".

 Publications

• ``Collaborative Filtering with Multi-component Rating for Recommender Systems.'' In Proceedings of the Sixteenth Workshop on Information Technologies and Systems (WITS'06) N. Sahoo, R. Krishnan, G. Duncan and J. Callan (PDF)
• ``Incremental Hierarchical Clustering of Text Documents.'' In Proceedings of the Fifteenth International Conference on Information and Knowledge Management (CIKM'06) ACM. N. Sahoo, J. Callan, R. Krishnan, G. Duncan and R. Padman (ACM-DL)
• ``An Approach to Multi-objective Facility Layout Planning.'' Industrial Engineering Journal, 2002, XXXI No. 4, 20--25. N. Sahoo, T. Shekhar and S. Sahu 

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