Nachiketa Sahoo's Home Page

I am a visiting assistant professor of Information Systems at the Tepper School of Business,  Carnegie Mellon University.
My main area of research is Machine Learning in Information Systems research (Research Statement).

My research interests are in:

• Recommender systems
• Blog social network analysis

 Papers

• "Socio temporal analysis of conversation themes in Blogs by tensor factorization." Forthcoming in the Eighteenth Workshop on Information Technologies and Systems (WITS'08) N. Sahoo, R. Krishnan (PDF)
• Formation of Citation and Reply ties over intra-organizational blog network" Conference on Information Systems and Technology (CIST'08), N. Sahoo, R. Krishnan, J. Callan (PDF)
  
• Link formation over intra-organizational blog network." Fourth Symposium on Statistical Challenges in Electronic Commerce Research (SCECR'08), N. Sahoo, R. Krishnan, J. Callan
• Applications of Voting Theory to Information Mashups" In Proceedings of the second IEEE International Conference on Semantic Computing (ICSC'08), A. Alba, V. Bhagwan, J. Grace, D. Gruhl, K. Haas, M. Nagarajan, J. Pieper, C. Robson, N. Sahoo (PDF)
  
• "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 

Other unpublished reports

• Ph.D. thesis titled "Three Essays on Enterprise Information Systems Mining for Business Intelligence" at Heinz College, CMU.
  
• My second research paper at Heinz College 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)".

Teaching

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