Nachiketa Sahoo

Associate Professor, Information Systems Faculty Director, MSBA Program

Nachiketa Sahoo is an associate professor in the Information Systems Department at the Questrom School of Business, Boston University. He does research at the intersection of Machine Learning and Information Systems. Typically, it focuses on learning user preferences and decision making processes from large disaggregate user-activity level datasets. He is particularly interested in developing methods for improved personalized recommendations. 

    Publications
  • Cwei, L., Sahoo, N., Srivastava, G., Ding, W. (In Press). "Introduction to the Special Issue on Pattern-Driven Mining, Analytics, and Prediction for Decision Making, Part 1", ACM Transactions on Management Information Systems, 13 (1), 1-3
  • Song, Y., Sahoo, N., Srinivasan, S., Dellarocas, C. (In Press). "Uncovering Characteristic Response Paths of a Population", Informs Journal on Computing
  • Lin, J., Sahoo, N., Srivastava, G., Ding, W. (2022). "Introduction to the Special Issue on Pattern-Driven Mining, Analytics, and Prediction for Decision Making, Part II", ACM Transactions on Management Information Systems, 13 (3), 1-3
  • Padmanabhan, B., Fang, X., Sahoo, N., Burton-Jones, A. (2022). "Editor’s Comments: Machine Learning in Information Systems Research", MIS Quarterly, 46 (5)
  • Song, Y., Li, Z., Sahoo, N. (2022). "Matching Returning Donors to Projects on Philanthropic Crowdfunding Platform", Management Science
  • Akkas, A., Sahoo, N. (2020). "Reducing Product Expiration by Aligning Salesforce Incentives: A Data-driven Approach", Production and Operations Management, 28 (8), 1992-2009
  • Song, Y., Sahoo, N., Ofek, E. (2019). "When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation", Management Science, 65 (8), 3737-3757
  • Sahoo, N., Dellarocas, C., Srinivasan, S. (2018). "The Impact of Online Product Reviews on Product Returns", Information Systems Research [10477047], 29 (3)
  • Singh, P., Sahoo, N., Mukhopadhyay, T. (2014). "How to Attract and Retain Readers in Enterprise Blogging?", Information Systems Research, 25 (1), 35-52
  • Sahoo, N., Singh, P., Mukhopadhyay, T. (2012). "A Hidden Markov Model for Collaborative Filtering", MIS Quarterly, 36 (4), 1329-1356
  • Sahoo, N., Krishnan, R., Duncan, G., Callan, J. (2012). "The Halo Effect in Multicomponent Ratings and Its Implications for Recommender Systems: The Case of Yahoo! Movies", Information Systems Research, 23 (1), 231-246
  • Alba, A., Bhagwan, V., Grace, J., Gruhl, D., Haas, K., Nagarajan, M., Pieper, J., Robson, C., Sahoo, N. (2008). "Applications of Voting Theory to Information Mashups", 2008 IEEE International Conference on Semantic Computing
  • Sahoo, N., Callan, J., Krishnan, R., Duncan, G., Padman, R. (2006). "Incremental hierarchical clustering of text documents", Proceedings of the 15th ACM international conference on Information and knowledge management - CIKM '06
    Research Presentations
  • Benade, J. , Sahoo, N. Stability, Fairness and the Pursuit of Happiness in Recommender Systems, Workshop on Information Technologies and Systems (WITS), Copenhagen, Denmark, 2022
  • Sahoo, n. Matching Returning Donors to Projects on Philanthropic Crowdfunding Platforms, University of Wisconsin Milwaukee seminar, 2021