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Artificial Intelligence Research Group

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Faculty Profile and Research Interests

Robin Burke (Associate Professor), Ph.D., Northwestern University, 1993.

Case-based reasoning, Recommender systems, Digital libraries.

Clark Elliott (Associate Professor), Ph.D., Northwestern University, 1992.

Intelligent Software Agents, Synthetic and Believable Agents, Affective Reasoning (Reasoning about Emotions).

Steven Lytinen (Professor), Ph.D., Yale University, 1984.

Natural Language Processing, Information Retrieval.

Craig Miller (Associate Professor), Ph.D., University of Michigan, 1993.

Cognitive modeling, models of human behavior, machine learning.

Bamshad Mobasher (Associate Professor), Ph.D., Iowa State University, 1994.

Web Data Mining, Intelligent Agents, Information Retrieval, Text Mining, Reasoning with Uncertainty.

Noriko Tomuro (Associate Professor), Ph.D., DePaul University, 1999.

Natural Language Processing, Information Retrieval.

Peter Wiemer-Hastings (Associate Professor), Ph.D., University of Michigan, 1994.

Intelligent Tutoring Systems, Natural Language Processing, Cognitive Science.

Noteworthy Events

• Recent TV Interview with Bamshad Mobasher on Data Mining, Privacy, and Security -  Program: "Politics in Perspective with Kevin McDermott",  aired in the Chicago area. View the program Online (only in Windows Media).
• New Book:  Intelligent Techniques for Web Personalization, by Bamshad Mobasher and Sarabjot Singh Anand (eds.), Lecture Notes in Artificial Intelligence (LNAI 3169), Springer, 2005.  The book consists of 17 thoroughly edited contributed chapters providing full coverage of issues related to Web Personalization, including: user modeling, recommender systems, enabling technologies, personalized information access, and systems and applications. [Read the introductory chapter].
• New Grant: Dr. Craig Miller, Associate Professor at CTI, and Dr. Shu-Chieh Wu from San Jose State University and NASA Ames, have been awarded $129,458 by NASA to develop and evaluate methods for organizing navigable information structures such as Web sites and nested menu systems. The proposed method involves the use of MESA (Method for Evaluating Site Architectures), which simulates users navigating through a linked information space. This one-year project extends work from two previous cooperative agreements with Roger Remington at NASA Ames Research Center.
• Bamshad Mobasher's Presentation at Microsoft Research -  Recent Presentation on the NSF-funded project "Secure Personalization". View the lecture online: Secure Personalization: Towards Trustworthy Recommender Systems.

AI-Related Courses at DePaul CTI

Course No.	Title	Usually Offered
CSC 357/457	Expert Systems	Fall Quarter
CSC 358/458	Symbolic Programming	Spring Quarter
CSC 380/480	Foundations of Artificial Intelligence	Winter Quarter
CSC 578	Neural Networks and Machine Learning	Fall Quarter
CSC 587	Cognitive Science	Winter Quarter
CSC 594	Topics in Artificial Intelligence	Spring Quarter
CSC 575	Intelligent Information Retrieval	Winter Quarter
ECT 584	Web Data Mining	Fall/Spring Quarters

Selected Recent Publications by the AI Faculty
(For other publications please contact the individual faculty member directly)

• Y. Zhou, B. Mobasher. Web User Segmentation Based on a Mixture of Factor Analyzers. In Proceedings of the International Conference on E-Commerce and Web Technologies (ECWeb'06). Krakow, Poland, September 2006.
• R. Burke, B. Mobasher, C. Williams, R. Bhaumik. Classification Features for Attack Detection in Collaborative Recommender Systems. In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'06), Philadelphia, August 2006.
• B. Mobasher, R. Burke, JJ Sandvig. Model-Based Collaborative Filtering as a Defense Against Profile Injection Attacks. In Proceedings of the 21st National Conference on Artificial Intelligence (AAAI'06). Boston, Massachusetts, July 16-20, 2006.
• B. Mobasher, R. Burke, C. Williams, R. Bhaumik. Analysis and Detection of Segment-Focused Attacks Against Collaborative Recommendation. In Taming Evolving, Expanding and Multi-faceted Web Clickstreams,  Olfa Nasraoui, Osmar R. Zaďane, Myra Spiliopoulou, Bamshad Mobasher, Brij Masand, and Philip S. Yu (eds.). Lecture Notes in Computer Science (Vol. TBD), Springer, 2006.
• X. Hu, Z. Cai, P. Wiemer-Hastings, A. Graesser, and D. McNamara. Strengths, Limitations, and Extensions of LSA. In D. McNamara, T. Landauer, S. Dennis, and W. Kintsch, editors, LSA: A Road to Meaning, Erlbaum, Mahwah, NJ, 2005.
• Wiemer-Hastings, P., Arnott, E., and Allbritton, D. Initial results and mixed directions for Research Methods Tutor. In AIED2005 - Supplementary Proceedings of the 12th International Conference on Artificial Intelligence in Education, Amsterdam, 2005.
• Smith, T., Repede, T., and Lytinen, S.  Determining the plausibility of answers to questions. In Proceedings of the Workshop on Inference for Textual Question Answering, Pittsburgh PA, July 2005. AAAI Press, Technical Report WS-05-05, p. 52-58.
• Mlynarczyk, S., and Lytinen, S.  FAQFinder question answering improvements using question/answer matching. In Proceedings of L&T-2005 - Human Language Technologies as a Challenge for Computer Science and Linguistics, Poznan, Poland, April 2005.
• Sieg, A., Mobasher, B., Burke, R., Prabu, G., and Lytinen, S.  Representing User Information Context with Ontologies. In Proceedings of the 3rd International Conference on Universal Access in Human-Computer Interaction, Las Vegas, NV, July 2005.
• C. S. Miller, Modeling Web Navigation: Methods and Challenges, Lecture Notes in Computer Science, Volume 3169, Nov 2005, Pages 37 - 52.
• S. S. Anand and B. Mobasher. Intelligent Techniques for Web Personalization. In Intelligent Techniques for Web Personalization. Bamshad Mobasher and Sarabjot Singh Anand (eds), Lecture Notes in Artificial Intelligence (LNAI 3169), pp. 1-36, Springer, 2005.
• B. Mobasher, R. Burke, R. Bhaumik, C. Williams. Effective Attack Models for Shilling Item-Based Collaborative Filtering Systems. In Proceedings of the 2005 WebKDD Workshop, Held at KDD'2005, Chicago, Illinois, USA, August 2005.
• X. Jin, Y. Zhou, and B. Mobasher. Task-Oriented Web User Modeling for Recommendation. In Proceedings of the 10th International Conference on User Modeling (UM'05). Edinburgh, Scotland, July 2005.
• A. Britt, P. Wiemer-Hastings, A. Larson, and C. Perfetti. Using intelligent feedback to improve sourcing and integration in students' essays. International Journal of Artificial Intelligence in Education, 14:359–374, IAIED Society, Leeds, England, 2004.
• Wiemer-Hastings, P., Allbritton, D., and Arnott, E. RMT: A Dialog-Based Research Methods Tutor with or without a Head. In Proceedings of the ITS2004 Seventh International Conference, Springer, Berlin, 2004.
• J. Robertson, B. Cross, H. MacLeod, and P. Wiemer-Hastings. Children's interactions with animated agents in an intelligent tutoring system. International Journal of Artificial Intelligence in Education, 14:335–357, 2004.
• P. Wiemer-Hastings, A. Janit, P. Wiemer-Hastings, S. Cromer, and J. Kinser. Automatic classification of dysfunctional thoughts: a feasibility test. Behavior Research Methods Instruments and Computers, 36:203–212, 2004.
• Tomuro, N. and Lytinen, S. Retrieval Models and Q&A Learning with FAQ Files (a book chapter).  In New Directions in Question Answering, 2004.
• C. S. Miller and R. W. Remington. Modeling information navigation: Implications for information architecture. Human-Computer Interaction, 19, 225-271, 2004
• G. Braught, C. S. Miller and D. Reed. Core Empirical Concepts and Skills for Computer Science. In Proceedings of the 35th SIGCSE Technical Symposium on Computer Science Education, ACM Press, 2004.
• X. Jin, Y. Zhou, and B. Mobasher. Web Usage Mining Based on Probabilistic Latent Semantic Analysis. In Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'04). Seattle, August 2004.