Research Interests

A copy of my thesis is available here (in .ps format) .


My area of interest falls in the broad category of Distributed Systems, Knowledge Discovery in Databases, Information Retrieval and Filtering, Collaborative Systems, Intelligent Agents, Multivariate systems, Statistical modelling of multivariate data, and Object-Oriented Systems.
 
 


Research Projects


Patents and Publications

United States Patents:
  1. Sarwar, B. M., Karypis, G., Konstan, J. A., and Riedl, J. "Using Dimensionality Reduction to Improve the Quality and Performance of Recommender Systems". Submitted to ACM Transactions on Information Systems Journal . [Going through the second review]
  2. Sarwar, B. M., Karypis, G., Konstan, J. A., and Riedl, J. "Incremental SVD-based Algorithms for Highly Scalable Recommender Systems". In proceedings of the 5th International Conference in Computers and Information Technology . [Accpetance rate ~45%]
  3. Sarwar, B. M., Karypis, G., Konstan, J. A., and Riedl, J. "Application of Dimensionality Reduction in Recommender System -- A Case Study". In ACM WebKDD 2000 Web Mining for E-Commerce Workshop . [Accpetance Rate 41%]
  4. Sarwar, B. M., Konstan, J. A., Borchers, A., and Riedl, J. "Applying Knowledge from KDD to Recommender Systems". Technical Report CS-TR 99-013 Computer Science and Engineering Dept., University of Minnesota.
  5. Sarwar, B. M., Karypis, G., Konstan, J. A., and Riedl, J. T. "Application of Dimensionality Reduction in Recommender System -- A Case Study" Technical Report CS-TR 00-043 Computer Science and Engineering Dept., University of Minnesota. [A version of this paper appears at WebKDD '00]


Incorporation of Filtering Agents in Collaborative Filtering Framework:
 
  1. Sarwar, B. M., Konstan, J. A., Borchers, A., Herlocker, J., Miller, B. and Riedl, J. "Using Filtering Agents to Improve Prediction Quality in the GroupLens Research Collaborative Filtering System." Presented at the Computer Supported Cooperative Works 1998 Conference, Seattle WA . The paper is available in Adobe pdf format (from ACM digital library) and in Postscript format (older version). [Acceptance rate 19%]
  2. Good, N., Schafer, B., Konstan, J., Borchers, A., Sarwar, B., Herlocker, J., and Riedl, J. "Combining Collaborative Filtering with Personal Agents for Better Recommendations". In proceedings of the AAAI'99 Conference, Orlando, FL. July, 1999. [Acceptance rate 25%]
  3. Sarwar, B. M., Konstan, J. A., Borchers, A., Herlocker, J., Miller, B. and Riedl, J. "Using Filtering Agents to Improve Prediction Quality in the GroupLens Research Collaborative Filtering System". Technical Report CS-TR 98-013 , Computer Science and Engineering Dept., University of Minnesota. [A version of this paper appears at CSCW'98]


 Scalable Neighborhood Techniques for Recommender Systems
  • Sarwar, B. M., Karypis, G., Konstan, J. A., and Riedl, J. "Incremental SVD-based Algorithms for Highly Scalable Recommender Systems". In proceedings of the 5th International Conference in Computers and Information Technology . [Accpetance rate ~45%]


  •  Framework for Distributed Recommender System: Towards More Availability
     
    1. Sarwar, B. M., Konstan, J. A., and Riedl, J. "Distributed Recommender Systems: New Opportunities for Internet Commerce". Chapter 20, in the book "Internet Commerce and Software Agents: Cases, Technologies and Opportunities" Rahman, S., and Bignall, R. (eds.), Idea Group pubs. [Invited Book Chapter]


    Others:
    1. Murshed, M. M., Sarwar, B. M., Sattar, M. A. and Kaykobad, M. "A new algorithm for linear programming problem" presneted in the 37th Annual Convention of the Institution of Engineers, Bangladesh, Rajshahi, Bangladesh, January 10-13, 1993. The paper is available in postscript. (Courtesy: M. Manzur Murshed).

    Talks:
    1. "Analysis of Recommendation Algorithms for E-Commerce". Presented at the ACM EC'00 Conference. Oct. 2000. Minneapolis, MN. [Powerpoint slides]
    2. "Application of Dimensionality Reduction in Recommender Systems--A Case Study". Presented at the ACM WebKDD'00  Workshop. Aug. 2000. Boston, MA. [Powerpoint slides]
    3. "Sparsity, Scalability, and Distribution in Recommender Systems".  Ph.D. Thesis proposal. July 1999.  [Powerpoint slides]
    4. "Combining Collaborative Filtering with Personal Agents for Better Recommendations".  Presented at the AAAI'99 conference. July 1999. Orlando, FL.  [Powerpoint slides].
    5. "FilterBots in GroupLens".  Talk givenat the ACM CSCW'98 conference. Nov. 1998. Seattle, WA.  [Powerpoint slides].
    Posters:
    1. Smith, K., Klinge, J., Sarwar, B., Scallen, S. and Hancock, P. "The University of Minnesota Glass Cockpit Experimental Platform" presented in The Ninth International Symposium on Aviation Psychology , Columbus, OH, April-May 1997.
    2. Sarwar, B. M. "Highly Scalable Recommender System: SVD-based Collaborative Filtering". Computer Science and Engineering Dept. open house poster presentation, Minneapolis, MN. Nov. 1999
  • Thesis/Report
    1. Sarwar, B. M. Ph.D. Thesis Proposal: Sparsity, Scalability and Distribution in Recommender Systems. Computer Science and Engineering Dept., University of Minnesota. July, 1999.
    2. Sarwar, B. M. MS Project Report , Computer Science and Engineering Department, University of Minnesota. May, 1998.
    3. Kazi, I., Faisal, I., Sarwar, B. and Rauniar, D. "Microprocessor based telephone call recorder." Undergraduate thesis, Computer Science and Engineering Department, Bangladesh University of Engineering and Technology, 1994.


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