E. Chang and B. Li, MEGA - The Maximizing Expected Generalization Algorithm for Learning Complex Query Concepts, ACM Transaction on Information Systems (final revision), 2002.
 R. Baeza-Yates and B. Ribeiro-Neto, Modern Information Retrieval, Addison Wesley, May 1999.
 K. Chakrabarti,K. Porkaew and S. Mehrotra, Efficient Query Refinement in Multimedia Databases, Proc. of the 16th Int. Conf. on Data Engineering (ICDE), February 2000.
 I. Bartolini,P. Ciaccia, and F. Waas, FeedbackBypass: A New Approach to Interactive Similarity Query Processing, Proc. 27th VLDB Conference, 2001.
 C. Carson,S. Belongie,H. Greenspan, and J. Malik. Region-based image querying, In Proc. IEEE Workshop on Content-based access of Image and Video Libraries, in conjunction with IEEE CVPR, 1997.
 Y. Chen,X. Zhou, and T. S. Huang, One-class SVM for Learning in Image Retrieval, Proc. IEEE Int. Conf. on Image Processing, pp. 440–447, February 1999.
 M. Flickner,H. Sawhney,W. Niblack,J. Ashley,Q. Huang,B. Dom,M. Gorkani,J. Hafine,D. Lee,D. Petkovic,D. Steele and P. Yanker, Query by Image and Video Content: The QBIC System, IEEE Computer, September 1995.
 J. Gray and A. Reuter, Transaction Processing: Concepts and Techniques, Morgan Kaufman, 1993.
 D. Heisterkamp,J. Peng,H. K. Dai, Adaptive Quasiconformal Kernel Metric for Image Retrieval, Proc. of IEEE Conf. on Computer Vision and Pattern Recognition, pp. 236–243, 2001.
 J. Herlocker,J. Konstan,A. Borchers,J. Riedl, An Algorithmic Framework for Performing Collaborative Filtering. Proceedings of the 1999 Conference on Research and Development in Information Retrieval, August 1999.
 Y. Ishikawa,R. Subramanya and C. Faloutsos, MindReader: Querying Databases Through Multiple Examples, Proc. 24th Int. Conf. Very Large Data Bases (VLDB) 1998.
 B. J. Jansen,A. Spink and T. Saracevic, Real life, real users, and real needs: a study and analysis of user queries on the web, Information Processing and Management, Elsevier Science," vol. 36, no. 2, 2000.
 M. L. Kersten and M. F. N. de Boer, Query Optimisation Strategies for Browsing Sessions, Workshop on Foundations of Models and Languages for Data and Objects, 1993.
 A. Kohrs and B. Merialdo, Improving Collaborative Filtering with Multimedia Indexing Techniques to create User-Adaptive Web Sites, Proc. ACM Multimedia Conf., October 1999.
 S. Mehrotra,Y. Rui,M. Ortega, and T. S. Huang, Supporting Content-based Queries over Images in MARS, Proc. of the 4th IEEE Int. Conf. Multimedia Computing and Systems, Chateau Laurier, Ottawa, Ontario, Canada, Pages 632–633, June 3–6, 1997.
 M. Ortega-Binderberger,K. Chakrabarti, and S. Mehrotra, An Approach to Integrating Query Refinement in SQL, 2002 Conference on Extending Database Systems (EDBT), pages 15–33, March, 2002.
 M. Ortega,Y. Rui,K. Chakrabarti,K. Porkaew,S. Mehrotra, and T. S. Huang, Supporting Ranked Boolean Similarity Queries in MARS, Appeared in IEEE Transaction on Knowledge and Data Engineering, Vol. 10, No. 6, Pages 905–925, December 1998.
 A. Pentland,R. W. Picard and S. Sclarof, Photobook: Tools for Content-Based Manipulation of Image Databases, SPIE vol. 12185, 1994.
 R. W. Picard, Computer Learning of Subjectivity, Proc. ACM Computing Surveys, vol. 27, no. 4, December 1995.
 K. Porkaew,S. Mehrotra,M. Ortega, and K. Chakrabarti, Similarity Search Using Multiple Examples in MARS, Proceedings of the International Conf. on Visual Information Systems (Visual'99), Lecture Notes in Computer Science, Springer Verlag, LNCS Vol. 1614, Pages 68–75, June 1999.
 K. Porkaew,S. Mehrotra, and M. Ortega, Query Reformulation for Content-Based Multimedia Retrieval in MARS, Proc. IEEE Int. Conf. on Multimedia Computing and Systems (ICMCS), vol. 2, June, 1999.
 P. Resnick and H. R. Varian. Recommender systems. Communications of the ACM, 40(3):56––58, 1997.
 J. J. Rocchio. Relevance Feedback in Information Retrieval. In G. Salton, editor, The SMART Retrieval System - Experiments in Automatic Document Processing. Prentice Hall Inc., Englewood Cliffs, NJ, 1971.
 Y. Rui,T. S. Huang,S. Mehrotra, and M. Ortega, Automatic Matching Tool Selection via Relevance Feedback in MARS, Proceedings of the 2nd Int. Conf. on Visual Information Systems, San Diego, California, December, 1997,
 Y. Rui,T. S. Huang,M. Ortega, and S. Mehrotra, Relevance Feedback: A Power Tool for Interactive Content-Based Image Retrieval, IEEE Tran on Circuits and Systems for Video Technology, Special Issue on Segmentation, Description, and Retrieval of Video Content, Vol 8, No. 5, Pages 644–655, September, 1998
 G. Salton and M. J. McGill, Introduction to Modern Information Retrieval McGraw-Hill, March 1984.
 S. Sclaroff,L. Taycher and M. La Cascia, ImageRover: A Content-Based image Browser for the World Wide Web, Proc. IEEE Workshop on Content-Based Access of Image and Video Libraries, 1997.
 J. C. Shafer and R. Agrawal, Continuous Querying in Database-Centric Web Applications, WWW9 conference, May 2000.
 A. Spink and T. Saracevic, Human---computer interaction in information retrieval: nature and manifestations of feedback, Interacting with Computers, Elsevier, vol. 10, no. 3, 1998.
 S. Tong and E. Chang, Support Vector Machine Active Learning for Image Retrieval, ACM International Conference on Multimedia, pp. 107–118, Ottawa, October 2001
 L. G. Valiant, A theory of the learnable, Comm. of the ACM, 27(11), November 1984.
 I. Witten,A. Moffat and T. Bell, Managing Gigabytes: Compressing and Indexing Documents and Images, Morgan Kaufman, 2nd ed., May 1999.
 L. Wu,C. Faloutsos,K. Sycara and T. Payne, FALCON: Feedback Adaptive Loop for CONtent-based retrieval, Proc. Int. Conf. Very Large Data Bases (VLDB), 2000.