David Bodoff is a Senior Lecturer in the Graduate School of Management. He is Area Head of Information Systems, and teaches in the department of business management and in the department of information and knowledge management. His research is organized around the central topic of search, with three specific focii: (1) consumer search behavior, online and offline; (2) technical aspects of information retrieval (aka search engines); and (3) information science.

CV & Publications

Bodoff D, Bekkerman R, Dai J (2017). Evolution of language: An empirical study at eBay Big Data Lab. PLoS ONE 12(12): e0189107. https://doi.org/10.1371/journal.pone.0189107

Question types and intermediary elicitations. Journal of the Association for Information Science and Technology. (2015). Bodoff, D. and Raban, D. doi: 10.1002/asi.23388.

The Effects of Web Personalization on User Attitude and Behavior: An Integration of the Elaboration Likelihood Model and Consumer Search Theory. MIS Quarterly (2014), vol. 38 no. 2 Shuk Ying Ho, David Bodoff

Timing of Adaptive Web Personalization and its Effects on Online Consumer Behavior. Information Systems Research  (2011), volume 22 no. 3. Shuk Ying Ho, David Bodoff, Kar Yan Tam

Test Theory for Assessing IR Test Collections. ACM SIGIR 2007. David Bodoff, Pu Li

EDGAR on the Internet: The Welfare Effects of Wider Information Distribution in an Experimental Market for Risky Assets. Journal of Experimental Economics (2006), volume 9 number 4. David Bodoff, Hugo Levecq, and Hongtao Zhang

Relevance Models to Help Estimate Document and Query Parameters. ACM Transactions on Information Systems (2004), v. 22 no. 3, pp. 357-380, 2004. David Bodoff

A New Unified Probabilistic Model. Journal of the American Society for Information Science and Technology (2004), v. 55 no. 6, pp. 471-487, 2004. David Bodoff and Stephen Robertson