Papers

Journal publications

  1. “Effects of In-house and Wire Content Mix on Online Newspaper Subscriptions” (SSRN), X. Yang, N. Sahoo, T. Simcoe. MIS Quarterly (forthcoming, 2025).
  2. “Uncovering Characteristic Response Paths of a Population” (SSRN), Y. Song, N. Sahoo, C. Dellarocas, S. Srinivasan. INFORMS Journal on Computing (2022).
  3. “Matching Returning Donors to Projects on Philanthropic Crowdfunding Platforms” (SSRN), Y. Song, Z. Li, N. Sahoo. Management Science (2021).
  4. “Reducing Product Expiration by Aligning Salesforce Incentives: A Data-driven Approach” (SSRN), A. Akkas, N. Sahoo. Production and Operations Management (2020).
  5. “When and How to Diversify—A Multi-Category Utility Model for Personalized Content Recommendation” (SSRN), Y. Song, N. Sahoo, E. Ofek. Management Science (2019).
  6. “The Impact of Online Product Reviews on Product Returns” (SSRN), N. Sahoo, C. Dellarocas, S. Srinivasan. Information Systems Research (2018).
  7. “How to Attract and Retain Readers in Enterprise Blogging?”, P. Singh, N. Sahoo, T. Mukhopadhyay. Information Systems Research (2014).
  8. “A Hidden Markov Model for Collaborative Filtering” (PDF), N. Sahoo, P. Singh, T. Mukhopadhyay. MIS Quarterly (2012).
  9. “The Halo Effect in Multi-component Ratings and its Implications for Recommender Systems: The Case of Yahoo! Movies” (PDF), N. Sahoo, R. Krishnan, G. Duncan, J. Callan. Information Systems Research (2012).

Working papers

  1. “Stability and Fairness under Exposure Constrained Recommendations”, G. Benadé, N. Sahoo. (SSRN.)
  1. “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.
  2. “Incremental Hierarchical Clustering of Text Documents.”, In Proceedings of the Fifteenth ACM International Conference on Information and Knowledge Management (CIKM'06), N. Sahoo, J. Callan, R. Krishnan, G. Duncan, R. Padman. 15% acceptance rate.

Other papers

Technical report

  1. “Artist Ranking through Analysis of Online Community Comments”, IBM Research Technical Report, J. Grace, D. Gruhl, K. Haas, M. Nagarajan, C. Robson, N. Sahoo.

Reports and theses

  1. Ph.D. thesis entitled “Three Essays on Enterprise Information Systems Mining for Business Intelligence” (PDF), Heinz College, Carnegie Mellon University.
  2. “Socio-temporal analysis of conversations in intra-organizational blogs” (PDF), N. Sahoo, R. Krishnan, C. Faloutsos — unpublished working paper on identifying topics and expertise from intra-organizational blog content. Project page: Uncovering Expertise.
  3. Second research paper at Heinz College: “Experiments with Multi-component Rating Collaborative Filtering for Improved Recommendation” (PDF).
  4. MS project at the Machine Learning Department at CMU: “Incremental Hierarchical Clustering of Text Documents” (PDF).

Older publication

  1. “An Approach to Multi-objective Facility Layout Planning.” (PDF), Industrial Engineering Journal (2002), XXXI No. 4, 20–25, N. Sahoo, T. Shekhar, S. Sahu.