Bamshad Mobasher

Selected Publications Related to:
Web Personalization, Recommender Systems, Collaborative Filtering

» Web Search Personalization with Ontological User Profiles
A. Sieg, B. Mobasher, R. Burke.
Proceedings of the 16th ACM Conference on Information and Knowledge Management (CIKM 2007)
Lisboa, Portugal, November 2007
[PDF]
» Towards Trustworthy Recommender Systems: An Analysis of Attack Models and Algorithm Robustness
B. Mobasher, R. Burke, R. Bhaumik, C. Williams
ACM Transactions on Internet Technology
Vol. 7, No. 4, 2007 (to appear)
[PDF]
» Robustness of Collaborative Recommendation Based On Association Rule Mining
J.J. Sandvig, B. Mobasher, and R. Burke.
Proceedings of the 2007 ACM Conference on Recommender Systems
Minneapolis, October, 2007
[PDF]
» Ontological User Profiles for Representing Context in Web Search
A. Sieg, B. Mobasher, R. Burke.
Proceedings of the Workshop on Web Personalization and Recommender Systems
At the ACM International Conference on Web Intelligence, Silicon Valley, CA, November 2007
[PDF]
» Contextual Recommendation
Sarabjot Singh Anand and Bamshad Mobasher
From Web to Social Web: Discovering and Deploying User and Content Profiles
B. Berendt, A. Hotho, D. Mladenic, G. Semeraro (Eds.), Lecture Notes in Computer Science (LNCS 4737), PP. 142-160, Springer Berlin-Heidelberg, 2007.
[PDF] [Web Link]
» Recommender Systems
Bamshad Mobasher
Kunstliche Intelligenz, Special Issue on Web Mining
No. 3, PP. 41-43, 2007. BottcherIT Verlag, Bremen, Germany
[PDF] [Web Link]
» Defending Recommender Systems: Detection of Profile Injection Attacks
C. Williams, B. Mobasher, R. Burke
Journal of Service Oriented Computing and Applications
August 2007 (to appear in print)
[PDF] [Web Link]
» Representing Context in Web Search with Ontological User Profiles
A. Sieg, B. Mobasher, R. Burke.
Proceedings of the Sixth International and Interdisciplinary Conference on Modeling and Using Context (Context'07)
Lecture Notes in Artificial Intelligence, Vol. 4635, PP. 439-452, Springer-Verlag, Berlin, 2007
[PDF]
» Effectiveness of Crawling Attacks Against Web-based Recommender Systems
R. Bhaumik, R. Burke, B. Mobasher
Proceedings of AAAI Workshop on Intelligent Techniques for Web Personalization
B. Mobasher, S. Anand, A. Kobsa, and D. Jannach (Eds.), AAAI Press Technical Report WS-07-08, PP. 17-26, July 2007
[PDF] [Web Link]
» Ontological User Profiles for Personalized Web Search
A. Sieg, B. Mobasher, R. Burke.
Proceedings of AAAI Workshop on Intelligent Techniques for Web Personalization
B. Mobasher, S. Anand, A. Kobsa, and D. Jannach (Eds.), AAAI Press Technical Report WS-07-08, PP. 84-91, July 2007
[PDF] [Web Link]
» Attacks and Remedies in Collaborative Recommendation
B. Mobasher, R. Burke, R. Bhaumik, J.J. Sandvig
IEEE Intelligent Systems
Vol. 22, No. 3, pp. 56-63, May/Jun, 2007
[PDF]
» Impact of Relevance Measures on the Robustness and Accuracy of Collaborative Filtering
J.J. Sandvig, B. Mobasher, and R. Burke
Proceedings of the 8th International Conference on Electronic Commerce and Web Technologies, EC-Web 2007
Regensburg, Germany, September 2007
[PDF]
» Crawling Attacks Against Web-based Recommender Systems
R. Bhaumik, R. Burke, B. Mobasher
Proceedings of the 2007 International Conference on Data Mining, DMIN'07
Las Vegas, June 2007
[PDF]
» Data Mining for Personalization
B. Mobasher
The Adaptive Web: Methods and Strategies of Web Personalization
Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.). Lecture Notes in Computer Science, Vol. 4321, PP. 90-135, Springer, Berlin-Heidelberg, 2007
[PDF]
» Model-Based Collaborative Filtering as a Defense Against Profile Injection Attacks
B. Mobasher, R. Burke, JJ Sandvig
Proceedings of the 21st National Conference on Artificial Intelligence (AAAI'06)
Boston, Massachusetts, July 16-20, 2006
[PDF]
» Intelligent Techniques for Web Personalization
S. S. Anand and B. Mobasher
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
[PDF]
» A Maximum Entropy Web Recommendation System: Combining Collaborative and Content Features
X. Jin, Y. Zhou, and B. Mobasher
Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'05)
Chicago, August 2005
[PDF]
» Task-Oriented Web User Modeling for Recommendation
X. Jin, Y. Zhou, and B. Mobasher
Proceedings of the 10th International Conference on User Modeling (UM'05)
Edinburgh, Scotland, July 2005
[PDF]
» A Web Recommendation System Based on Maximum Entropy
X. Jin, B. Mobasher, and Y. Zhou
Proceedings of the IEEE International Conference on Information Technology Coding and Computing (ITCC'05)
Las Vegas, Nevada, April 2005
[PDF]
» Attack Models for Secure Recommendation
R. Burke, B. Mobasher, R. Zabicki, and R. Bhaumik
Beyond Personalization: Workshop on the Next Generation of Recommender Systems
Held at the Intelligent User Interfaces Conference (IUI'05), San Diego, California, January 2005.
[PDF]
» A Unified Approach to Personalization Based on Probabilistic Latent Semantic Models of Web Usage and Content
X. Jin, Y. Zhou, and B. Mobasher
Proceedings of the AAAI 2004 Workshop on Semantic Web Personalization (SWP'04)
Held at AAAI 2004, San Jose, July 2004
[PDF]
» A Recommendation Model Based on Latent Principal Factors in Web Navigation Data
Y. Zhou, X. Jin, and B. Mobasher
Proceedings of the 3rd International Workshop on Web Dynamics
Held at the WWW 2004 Conference, New York, May 2004
[PDF]
» Semantically Enhanced Collaborative Filtering on the Web
B. Mobasher, X. Jin, and Y. Zhou
Web Mining: From Web to Semantic Web
Bettina Berendt et al. (eds.), LNAI Volume 3209, Springer, 2004
[PDF] [HTML]
» Integrating Semantic Knowledge with Web Usage Mining for Personalization
H. Dai and B. Mobasher
In Web Mining: Applications and Techniques
Anthony Scime (ed.), Idea Group Publishing, 2005
[PDF]
» Web Usage Mining and Personalization
B. Mobasher
In Practical Handbook of Internet Computing
Munindar P. Singh (ed.), CRC Press, 2005
[PDF]
» Using Semantic Similarity to Enhance Item-Based Collaborative Filtering
X. Jin and B. Mobasher
Proceedings of The 2nd IASTED International Conference on Information and Knowledge Sharing
Scottsdale, Arizona, November 2003
[PDF]
» A Hybrid Web Personalization Model Based on Site Connectivity
M. Nakagawa and B. Mobasher
Proceedings of the 2003 WebKDD Workshop
Held at KDD'2003, Washington, DC, August 2003
[PDF]
» Impact of Site Characteristics on Recommendation Models Based On Association Rules and Sequential Patterns
M. Nakagawa and B. Mobasher
Proceedings of the IJCAI'03 Workshop on Intelligent Techniques for Web Personalization
Acapulco, Mexico, August 2003
[PDF]
» A Road map to More Effective Web Personalization: Integrating Domain Knowledge with Web Usage Mining
H. Dai and B. Mobasher
Proceedings of the International Conference on Internet Computing 2003 (IC’03)
Las Vegas, Nevada, June 2003
[PDF]
» Using Sequential and Non-Sequential Patterns for Predictive Web Usage Mining Tasks
B. Mobasher, H. Dai, T. Luo, and M. Nakagawa
Proceedings of the IEEE International Conference on Data Mining (ICDM'2002)
Maebashi City, Japan, December, 2002
[PDF]
» Discovery and Evaluation of Aggregate Usage Profiles for Web Personalization
B. Mobasher, H. Dai, T. Luo, and M. Nakagawa
Data Mining and Knowledge Discovery
Kluwer Publishing, Vol. 6, No. 1, pp. 61-82, January 2002
[PDF]
» Effective Personalization Based on Association Rule Discovery from Web Usage Data
B. Mobasher, H. Dai, T. Luo, and M. Nakagawa
Proceedings of the ACM Workshop on Web Information and Data Management (WIDM01)
Held at CIKM 2001, Atlanta, Georgia, November 2001
[PDF] [HTML]
» Improving the Effectiveness of Collaborative Filtering on Anonymous Web Usage Data
B. Mobasher, H. Dai, T. Luo, and M. Nakagawa
Proceedings of the Workshop on Intelligent Techniques for Web Personalization (ITWP01)
Held at IJCAI 2001, August 2001, Seattle
[PDF]
» Automatic Personalization Based On Web Usage Mining
B. Mobasher, R. Cooley and J. Srivastava
Communication of ACM
Volume 43, Issue 8, August, 2000
[PDF]
» Creating Adaptive Web Sites Through Usage-Based Clustering of URLs
B. Mobasher, R. Cooley and J. Srivastava
Proceedings of the IEEE Knowledge and Data Engineering Exchange Workshop (KDEX'99)
November 1999, Chicago
[PDF]
» Automatic Personalization Through Web Usage Mining
B. Mobasher, R. Cooley and J. Srivastava
Technical Report TR99-010
Department of Computer Science, DePaul University, Chicago, IL, 1999
[HTML]

Back

»	Web Search Personalization with Ontological User Profiles A. Sieg, B. Mobasher, R. Burke. Proceedings of the 16th ACM Conference on Information and Knowledge Management (CIKM 2007) Lisboa, Portugal, November 2007 [PDF]
»	Towards Trustworthy Recommender Systems: An Analysis of Attack Models and Algorithm Robustness B. Mobasher, R. Burke, R. Bhaumik, C. Williams ACM Transactions on Internet Technology Vol. 7, No. 4, 2007 (to appear) [PDF]
»	Robustness of Collaborative Recommendation Based On Association Rule Mining J.J. Sandvig, B. Mobasher, and R. Burke. Proceedings of the 2007 ACM Conference on Recommender Systems Minneapolis, October, 2007 [PDF]
»	Ontological User Profiles for Representing Context in Web Search A. Sieg, B. Mobasher, R. Burke. Proceedings of the Workshop on Web Personalization and Recommender Systems At the ACM International Conference on Web Intelligence, Silicon Valley, CA, November 2007 [PDF]
»	Contextual Recommendation Sarabjot Singh Anand and Bamshad Mobasher From Web to Social Web: Discovering and Deploying User and Content Profiles B. Berendt, A. Hotho, D. Mladenic, G. Semeraro (Eds.), Lecture Notes in Computer Science (LNCS 4737), PP. 142-160, Springer Berlin-Heidelberg, 2007. [PDF] [Web Link]
»	Recommender Systems Bamshad Mobasher Kunstliche Intelligenz, Special Issue on Web Mining No. 3, PP. 41-43, 2007. BottcherIT Verlag, Bremen, Germany [PDF] [Web Link]
»	Defending Recommender Systems: Detection of Profile Injection Attacks C. Williams, B. Mobasher, R. Burke Journal of Service Oriented Computing and Applications August 2007 (to appear in print) [PDF] [Web Link]
»	Representing Context in Web Search with Ontological User Profiles A. Sieg, B. Mobasher, R. Burke. Proceedings of the Sixth International and Interdisciplinary Conference on Modeling and Using Context (Context'07) Lecture Notes in Artificial Intelligence, Vol. 4635, PP. 439-452, Springer-Verlag, Berlin, 2007 [PDF]
»	Effectiveness of Crawling Attacks Against Web-based Recommender Systems R. Bhaumik, R. Burke, B. Mobasher Proceedings of AAAI Workshop on Intelligent Techniques for Web Personalization B. Mobasher, S. Anand, A. Kobsa, and D. Jannach (Eds.), AAAI Press Technical Report WS-07-08, PP. 17-26, July 2007 [PDF] [Web Link]
»	Ontological User Profiles for Personalized Web Search A. Sieg, B. Mobasher, R. Burke. Proceedings of AAAI Workshop on Intelligent Techniques for Web Personalization B. Mobasher, S. Anand, A. Kobsa, and D. Jannach (Eds.), AAAI Press Technical Report WS-07-08, PP. 84-91, July 2007 [PDF] [Web Link]
»	Attacks and Remedies in Collaborative Recommendation B. Mobasher, R. Burke, R. Bhaumik, J.J. Sandvig IEEE Intelligent Systems Vol. 22, No. 3, pp. 56-63, May/Jun, 2007 [PDF]
»	Impact of Relevance Measures on the Robustness and Accuracy of Collaborative Filtering J.J. Sandvig, B. Mobasher, and R. Burke Proceedings of the 8th International Conference on Electronic Commerce and Web Technologies, EC-Web 2007 Regensburg, Germany, September 2007 [PDF]
»	Crawling Attacks Against Web-based Recommender Systems R. Bhaumik, R. Burke, B. Mobasher Proceedings of the 2007 International Conference on Data Mining, DMIN'07 Las Vegas, June 2007 [PDF]
»	Data Mining for Personalization B. Mobasher The Adaptive Web: Methods and Strategies of Web Personalization Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.). Lecture Notes in Computer Science, Vol. 4321, PP. 90-135, Springer, Berlin-Heidelberg, 2007 [PDF]
»	Model-Based Collaborative Filtering as a Defense Against Profile Injection Attacks B. Mobasher, R. Burke, JJ Sandvig Proceedings of the 21st National Conference on Artificial Intelligence (AAAI'06) Boston, Massachusetts, July 16-20, 2006 [PDF]
»	Intelligent Techniques for Web Personalization S. S. Anand and B. Mobasher 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 [PDF]
»	A Maximum Entropy Web Recommendation System: Combining Collaborative and Content Features X. Jin, Y. Zhou, and B. Mobasher Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'05) Chicago, August 2005 [PDF]
»	Task-Oriented Web User Modeling for Recommendation X. Jin, Y. Zhou, and B. Mobasher Proceedings of the 10th International Conference on User Modeling (UM'05) Edinburgh, Scotland, July 2005 [PDF]
»	A Web Recommendation System Based on Maximum Entropy X. Jin, B. Mobasher, and Y. Zhou Proceedings of the IEEE International Conference on Information Technology Coding and Computing (ITCC'05) Las Vegas, Nevada, April 2005 [PDF]
»	Attack Models for Secure Recommendation R. Burke, B. Mobasher, R. Zabicki, and R. Bhaumik Beyond Personalization: Workshop on the Next Generation of Recommender Systems Held at the Intelligent User Interfaces Conference (IUI'05), San Diego, California, January 2005. [PDF]
»	A Unified Approach to Personalization Based on Probabilistic Latent Semantic Models of Web Usage and Content X. Jin, Y. Zhou, and B. Mobasher Proceedings of the AAAI 2004 Workshop on Semantic Web Personalization (SWP'04) Held at AAAI 2004, San Jose, July 2004 [PDF]
»	A Recommendation Model Based on Latent Principal Factors in Web Navigation Data Y. Zhou, X. Jin, and B. Mobasher Proceedings of the 3rd International Workshop on Web Dynamics Held at the WWW 2004 Conference, New York, May 2004 [PDF]
»	Semantically Enhanced Collaborative Filtering on the Web B. Mobasher, X. Jin, and Y. Zhou Web Mining: From Web to Semantic Web Bettina Berendt et al. (eds.), LNAI Volume 3209, Springer, 2004 [PDF] [HTML]
»	Integrating Semantic Knowledge with Web Usage Mining for Personalization H. Dai and B. Mobasher In Web Mining: Applications and Techniques Anthony Scime (ed.), Idea Group Publishing, 2005 [PDF]
»	Web Usage Mining and Personalization B. Mobasher In Practical Handbook of Internet Computing Munindar P. Singh (ed.), CRC Press, 2005 [PDF]
»	Using Semantic Similarity to Enhance Item-Based Collaborative Filtering X. Jin and B. Mobasher Proceedings of The 2nd IASTED International Conference on Information and Knowledge Sharing Scottsdale, Arizona, November 2003 [PDF]
»	A Hybrid Web Personalization Model Based on Site Connectivity M. Nakagawa and B. Mobasher Proceedings of the 2003 WebKDD Workshop Held at KDD'2003, Washington, DC, August 2003 [PDF]
»	Impact of Site Characteristics on Recommendation Models Based On Association Rules and Sequential Patterns M. Nakagawa and B. Mobasher Proceedings of the IJCAI'03 Workshop on Intelligent Techniques for Web Personalization Acapulco, Mexico, August 2003 [PDF]
»	A Road map to More Effective Web Personalization: Integrating Domain Knowledge with Web Usage Mining H. Dai and B. Mobasher Proceedings of the International Conference on Internet Computing 2003 (IC’03) Las Vegas, Nevada, June 2003 [PDF]
»	Using Sequential and Non-Sequential Patterns for Predictive Web Usage Mining Tasks B. Mobasher, H. Dai, T. Luo, and M. Nakagawa Proceedings of the IEEE International Conference on Data Mining (ICDM'2002) Maebashi City, Japan, December, 2002 [PDF]
»	Discovery and Evaluation of Aggregate Usage Profiles for Web Personalization B. Mobasher, H. Dai, T. Luo, and M. Nakagawa Data Mining and Knowledge Discovery Kluwer Publishing, Vol. 6, No. 1, pp. 61-82, January 2002 [PDF]
»	Effective Personalization Based on Association Rule Discovery from Web Usage Data B. Mobasher, H. Dai, T. Luo, and M. Nakagawa Proceedings of the ACM Workshop on Web Information and Data Management (WIDM01) Held at CIKM 2001, Atlanta, Georgia, November 2001 [PDF] [HTML]
»	Improving the Effectiveness of Collaborative Filtering on Anonymous Web Usage Data B. Mobasher, H. Dai, T. Luo, and M. Nakagawa Proceedings of the Workshop on Intelligent Techniques for Web Personalization (ITWP01) Held at IJCAI 2001, August 2001, Seattle [PDF]
»	Automatic Personalization Based On Web Usage Mining B. Mobasher, R. Cooley and J. Srivastava Communication of ACM Volume 43, Issue 8, August, 2000 [PDF]
»	Creating Adaptive Web Sites Through Usage-Based Clustering of URLs B. Mobasher, R. Cooley and J. Srivastava Proceedings of the IEEE Knowledge and Data Engineering Exchange Workshop (KDEX'99) November 1999, Chicago [PDF]
»	Automatic Personalization Through Web Usage Mining B. Mobasher, R. Cooley and J. Srivastava Technical Report TR99-010 Department of Computer Science, DePaul University, Chicago, IL, 1999 [HTML]