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. His research lies 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
  • Padmanabhan, B., Fang, X., Sahoo, N., Burton-Jones, A. (In Press). "Editor’s Comments: Machine Learning in Information Systems Research", MIS Quarterly, 46 (5)
  • Song, Y., Sahoo, N., Srinivasan, S., Dellarocas, C. (In Press). "Uncovering Characteristic Response Paths of a Population", Informs Journal on Computing
  • Song, Y., Sahoo, N., Srinivasan, S., Dellarocas, C. (In Press). "Uncovering Characteristic Paths to Purchase of Consumers",
  • 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
    Research Presentations
  • Sahoo, n. Matching Returning Donors to Projects on Philanthropic Crowdfunding Platforms, University of Wisconsin Milwaukee seminar, 2021