Nachiketa Sahoo

 

Nachiketa Sahoo, PhD
Reidy Family Career Development Professor (2013-2016)
Hariri Institute Junior Faculty Fellow (2012–2014)

595 commonwealth ave, office 627; Boston, MA 02215
Email: reCAPTCHA, Ph: 617-353-6145

Biographical Information (CV)

Nachiketa Sahoo is an assistant professor in the Information Systems Department at the School of Management, Boston University. His broad area of research is Machine Learning in Information Systems (Research Statement).

Current Projects

  1. Customer analytics in retail environment

    1. Identifying popular paths-through-purchase

    2. Effect of online artifacts and activities on quality of purchase decisions

  2. Inferring expertise from social media content

  3. Personalized information filtering and it's implications for business

Journal Publications

  1. ‘‘How to Attract and Retain Readers in Enterprise Blogging?’’, Information Systems Research, 2014, P. Singh, N. Sahoo, T. Mukhopadhyay

  2. ‘‘A Hidden Markov Model for Collaborative Filtering’’, MIS Quarterly, 2012, N. Sahoo, P. Singh, T. Mukhopadhyay

  3. ‘‘The Halo Effect in Multi-component Ratings and its Implications for Recommender Systems: The Case of Yahoo! Movies’’, Information Systems Research, 2011, N. Sahoo, R. Krishnan, G. Duncan, J. Callan

Working Papers

  1. ‘‘Socio-temporal analysis of conversations in intra-organizational blogs’’, N. Sahoo, R. Krishnan, C. Faloutsos

  2. ‘‘Incentivizing Enterprise Social Media Participation under Employee Heterogeneity’’, P. Singh, N. Sahoo, T. Mukhopadhyay

Upcoming Presentations

  1. ‘‘Identifying paths-to-purchase segments via Clustered Vector Autoregression’’, Statistical Challenges in eCommerce Research Symposium (SCECR ’14), Y. Song, N. Sahoo, C. Dellarocas and S. Srinivasan

Prior Conferences and Workshop Presentations

  1. ‘‘The Impact of Online Product Reviews on Product Returns and Net Sales’’, Workshop on Information Systems Economics (WISE ’13), N. Sahoo, S. Srinivasan and C. Dellarocas

  2. ‘‘Channel Interactions on Path-to-Purchase and Beyond’’, Conference on Information Systems and Technology (CIST ’13), Nachiketa Sahoo, Chris Dellarocas and Shuba Srinivasan

  3. ‘‘Demystifying the Path to Purchase: A State Space Modeling Approach’’, Statistical Challenges in eCommerce Research Symposium (SCECR ’13), N. Sahoo, C. Dellarocas, S. Srinivasan (Extended Abstract)

  4. ‘‘A Hidden Markov Model for Collaborative Filtering’’, The 2011 Winter Conference on Business Intelligence, N. Sahoo, P. Singh, T. Mukhopadhyay

  5. ‘‘Expertise Discovery from Blogs by Tensor Factorization’’, Conference on Information Systems and Technology (CIST ’10), N. Sahoo, R. Krishnan

  6. ‘‘Seeking Variety: A Dynamic Model of Employee Blog Reading Behavior’’, Workshop on Information Systems Economics (WISE ’10), P. Singh, N. Sahoo, T. Mukhopadhyay

  7. ‘‘Modeling Blog Reading Dynamics’’, The Sixth Symposium on Statistical Challenges in Electronic Commerce Research (SCECR ’10), P. Singh, N. Sahoo, T. Mukhopadhyay

  8. ‘‘Modeling Blog Reading Dynamics’’, The 2010 Winter Conference on Business Intelligence, T. Mukhopadhyay, N. Sahoo, P. Singh

  9. ‘‘On analyzing multi-modal networks using Tensors’’, Workshop on Information in Networks (WIN’09), R. Krishnan, N.Sahoo

  10. ‘‘Socio-temporal analysis of conversation themes in blogs by tensor factorization’’, The Eighteenth Annual Workshop on Information Technologies and Systems (WITS’08), N. Sahoo, R. Krishnan

  11. ‘‘Link formation over intra-organizational blog network’’ Fourth Symposium on Statistical Challenges in Electronic Commerce Research (SCECR’08), N. Sahoo, R. Krishnan, J. Callan

  12. ‘‘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

  13. ‘‘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

  14. ‘‘Collaborative Filtering with Multi-component Rating for Recommender Systems.’’ In Proceedings of the Sixteenth Annual Workshop on Information Technologies and Systems (WITS’06), N. Sahoo, R. Krishnan, G. Duncan, J. Callan

  15. ‘‘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

Invited Talks

  1. ‘‘Multi-component Rating and Collaborative Filtering for Recommender Systems’’, INFORMS Annual Meeting Data Mining Session, 2008, N. Sahoo, R. Krishnan, J. Callan

  2. ‘‘Filling in rating components that the users left out’’, INFORMS Annual Meeting Data Mining Session, 2007, N. Sahoo, R. Krishnan

Older Journal Publication

Technical Report

Reports and Theses

  1. Ph.D. thesis titled “Three Essays on Enterprise Information Systems Mining for Business Intelligence” at Heinz College, CMU.

  2. Second research paper at Heinz College is titled “Experiments with Multi-component Rating Collaborative Filtering for Improved Recommendation” (PDF)

  3. MS project at Machine Learning Department at CMU is titled “Incremental Hierarchical Clustering of Text Documents” (PDF)

Other Unpublished Report

Teaching

  1. Directed Study on Advanced Choice Models, Spring ’14

  2. Directed Study on Machine Learnin, Fall ’13

  3. Advanced Business Analytics: Data Mining (IS841) Fall ’13

  4. Doctoral Seminar in Information Systems (IS919) Fall ’12

  5. Designing Systems and Data Management (IS883) Fall ’11

  6. Managing Data Resources (IS465) Fall ’11, Fall ’12, Fall ’13

  7. Management Information Systems (70-451, at Tepper School of Business, Carnegie Mellon University) Fall ’09, Spring ’10, Fall ’10