BAMSHAD MOBASHER
Professor
DePaul University

School of Computing,
College of Computing and Digital Media
243 South Wabash Avenue
Chicago, IL  60604

Phone: (312) 362-5174 
FAX: (312) 362-6116

mobasher [at] cs [dot] depaul  [dot] edu
 Office: Room 833, CDM Center 
My Official CDM Page

Selected Course Web Sites
  • ECT 584 - Web Data Mining for Business Intelligence
  • CSC 575 - Intelligent Information Retrieval
  • CSC 426 - Values in Computer Technology
    •  
    Research Interests
  • Data mining, Web mining, Web Analytics
  • Recommender Systems, Web personalization, Predictive User Modeling
  • Intelligent agents and Multi-agents systems
  • Logic programming and non-monotonic reasoning

    • Publications
  • My research  profile on: [Microsoft Academic Search] [Google Scholar] [DBLP]
  • A chronological list of selected publications.
    • Selected and Presentations, Events, and Announcements
    Invited Talk at Recommenders'06 - Present and Future of Recommender Systems in Bilbao, Spain, on securing recommender systems against malicious attacks. You can download presentation or watch the video. Recommenders 2007 (Sponsored by ACM) will be held in Minneapolis, October 19-21, 2007.

    		Book Announcement: Advances in Web Mining and Web Usage Analysis, by B. Mobasher, O. Nasraoui, B. Liu, B.Masand (eds.), Lecture Notes in Artificial Intelligence (LNAI 3932), Springer, 2006. This book constitutes the thoroughly refereed and extended articles from the International Workshop on Mining Web Data, WEBKDD, held at the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. The 11 chapters were carefully selected and reviewed for inclusion in the book. Topic areas include: Web usage analysis and user modeling, Web personalization and recommender systems, search personalization, and semantic Web mining.
    Book Announcement: 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]
    TV Interview on Data Mining, Privacy, and Security -  in: "Politics in Perspective with Kevin McDermott", aired in the Chicago area. View the program Online.
    Presentation at Microsoft Research on the NSF-funded project "Secure Personalization" (Dec. 2005). View the lecture online at the Research Channel: Secure Personalization: Towards Trustworthy Recommender Systems.