Isak Taksa, Ph.D.

Associate Professor of Computer Information Systems
Zicklin School of Business, Baruch College
City University of New York

Areas of Expertise:

• Information Retrieval
• Knowledge Discovery
• Text and Data Mining

Education:

• Ph.D. in Computer Science, Graduate Center of the City University of New York, 2002
• M.S. in Computer Science , Columbia University, 1978
  
  

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Honors:

• Teaching Excellence Award, 2007
• Honored at the Seventh Annual Celebration of Faculty Scholarship and Creative Achievement, 2009
• Honored at the Sixth Annual Celebration of Faculty Scholarship and Creative Achievement, 2008
• Honored at the Fifth Annual Celebration of Faculty Scholarship and Creative Achievement, 2007
• Honored at the Forth Annual Celebration of Faculty Scholarship and Creative Achievement, 2006
• Member, Doctoral Faculty, PhD Program in Computer Science, Graduate Center, City University of New York
• Member, Doctoral Faculty, PhD Program in Business, Graduate Center, City University of New York
  
  

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Selected Scholarly Publications:

• D. F. Hsu and I. Taksa, "Combinatorial fusion analysis for meta search information retrieval", Chapter in "Web-based Support Systems", Jing Tao Yao (Ed.), 2009, Springer, Forthcoming.
• B. J. Jansen, A. Spink and I. Taksa, Editors, Handbook of Research on Web Log Analysis, IGI Global, 2008.
• I. Taksa, A. Spink and R. Goldberg, "A task-oriented approach to search engine usability studies, " Journal of Software, 2008, Vol. 3/1, pp. 63-73.
• I. Taksa, S. Zelikovitz and A. Spink, "Using Web Search Logs to Identify Query Classification Terms, " Proceedings of the Fourth International Conference on Information Technology: New Generations, 2007, pp. 469-474.
• I. Taksa and A. Spink, "Using the Web to Construct Taxonomy for a Heterogeneous Community of Practice, " Proceedings of the Third International Conference on Information Technology: New Generations, 2006, pp.358-363.
• D. F. Hsu and I. Taksa, "Comparing rank and score combination methods for data fusion in information retrieval," Information Retrieval, 2005, Vol. 8/3, pp. 449-480.
• I. Taksa, "Predicting the Cumulative Effect of Multiple Query Formulations", Proceedings of the IEEE International Conference on Information Technology, April 2005, pp. 491-496.
• I. Taksa and R. Goldberg, "Web-Delivered Supplemental Instruction: Dynamic Customizing of Search Algorithms to Enhance Independent Learning for Developmental Mathematics Students," Mathematics and Computer Education Journal, 2004, Vol. 38/2, pp.152-164.
• I. Taksa, “Teaching Principles of Team Learning to a Diversified Student Body,” Proceedings of the 35th Annual Meeting of the Decision Sciences Institute, November 2004, pp. 681-686.
• J. Shapiro, I. Taksa and R. Goldberg, “Using multiple query representations to improve quality of information retrieval,” Proceedings of the 34th Annual Meeting of the Decision Sciences Institute, November 2003, pp. 1-9.
• J. Shapiro and I. Taksa, "Constructing web search queries from the user's information need expressed in a natural language", Proceedings of the Eighteenth Annual ACM Symposium on Applied Computing, March 2003, pp. 1157-1162.
• D. F. Hsu, J. Shapiro and I. Taksa, "Methods of data fusion in information retrieval: rank vs. score combination", NSF Science and Technology Center, DIMACS Technical Report 2002-58, pp. 1-47.
• V. Frants, J. Shapiro, I. Taksa and V. Voiskunskii, "Boolean Search: Current State and Perspectives," Journal of the American Society for Information Science, 1999, 50(1), pp.86-95.

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   Last Revised September 2009