Nachiketa Sahoo

Associate Professor, Information Systems

Nachiketa Sahoo is an associate professor in the Information Systems Department at the Questrom School of BusinessBoston 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. 

  • 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, 29 (3), 723-738
  • 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
  • Yang, X., Sahoo, N."Effect of Content Sourcing Strategy on Online News Subscription",
  • Akkas, A., Sahoo, N."Reducing Product Expiration by Aligning Salesforce Incentives: A Data-driven Approach", Production and Operations Management
    Research Presentations
  • Sahoo, N. Matching Donors to Projects on Philanthropic Crowdfunding Platform, IS research seminar at University of Texas Dallas, 2019
  • Yang, X. , Sahoo, N. Effect of Content Sourcing Strategy on Online News Subscription, Marketing Dynamics Conference, University of Maryland, 2019
  • Sahoo, N. Reducing Product Expiration by Aligning Salesforce Incentives: A Data-driven Approach, MIS seminars series of the IDSc department, University of Minnesota, 2019
  • Sahoo, N. When Diversity Becomes Relevant — A Multi-Category Utility Model of Consumer Response to Content Recommendations, Global Center on Big Data and Mobile Analytics Workshop, Temple University, 2017