Bamshad Mobasher

According to our database, Bamshad Mobasher authored at least 198 papers between 1993 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Fairness of Exposure in Dynamic Recommendation.

Masoud Mansoury, Bamshad Mobasher

CoRR, 2023

6th Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2023).

Bamshad Mobasher, Styliani Kleanthous, Jahna Otterbacher, Robin Burke, Avital Shulner-Tal

Proceedings of the Adjunct Proceedings of the 31st ACM Conference on User Modeling, 2023

Workshop on Context-Aware Recommender Systems 2023.

Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Alexander Tuzhilin, Moshe Unger

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Modeling Users' Localized Preferences for More Effective News Recommendation.

Payam Pourashraf, Bamshad Mobasher

Proceedings of the Artificial Intelligence in HCI, 2023

2022

A Graph-Based Approach for Mitigating Multi-Sided Exposure Bias in Recommender Systems.

Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke

ACM Trans. Inf. Syst., 2022

Exposure-Aware Recommendation using Contextual Bandits.

Masoud Mansoury, Bamshad Mobasher, Herke van Hoof

CoRR, 2022

Behavioral Player Rating in Competitive Online Shooter Games.

Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell, Bamshad Mobasher

CoRR, 2022

Using user's local context to support local news.

Payam Pourashraf, Bamshad Mobasher

Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

Using Recommender Systems to Help Revitalize Local News.

Payam Pourashraf, Bamshad Mobasher

Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

5th Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2022).

Styliani Kleanthous, Bamshad Mobasher, Tsvika Kuflik, Bettina Berendt, Robin Burke, Jahna Otterbacher, Nasim Sonboli, Avital Shulner-Tal

Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

Does the User Have A Theory of the Recommender? A Grounded Theory Study.

Mohammed Muheeb Ghori, Arman Dehpanah, Jonathan Gemmell, Hamed Qahri-Saremi, Bamshad Mobasher

Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

CARS: Workshop on Context-Aware Recommender Systems 2022.

Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Data Science and Artificial Intelligence for Responsible Recommendations.

Shoujin Wang, Ninghao Liu, Xiuzhen Zhang, Yan Wang, Francesco Ricci, Bamshad Mobasher

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Flatter Is Better: Percentile Transformations for Recommender Systems.

Masoud Mansoury, Robin Burke, Bamshad Mobasher

ACM Trans. Intell. Syst. Technol., 2021

Report on the 3rd workshop of knowledge-aware and conversational recommender systems (KARS/ComplexRec) at RecSys 2021.

Vito Walter Anelli, Pierpaolo Basile, Toine Bogers, Tommaso Di Noia, Francesco Maria Donini, Bamshad Mobasher, Cataldo Musto, Fedelucio Narducci, Casper Petersen, Maria Soledad Pera, Markus Zanker

SIGIR Forum, 2021

Unbiased Cascade Bandits: Mitigating Exposure Bias in Online Learning to Rank Recommendation.

Masoud Mansoury, Himan Abdollahpouri, Bamshad Mobasher, Mykola Pechenizkiy, Robin Burke, Milad Sabouri

CoRR, 2021

The Evaluation of Rating Systems in Team-based Battle Royale Games.

Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell, Bamshad Mobasher

CoRR, 2021

Toward the Next Generation of News Recommender Systems.

Himan Abdollahpouri, Edward C. Malthouse, Joseph A. Konstan, Bamshad Mobasher, Jeremy Gilbert

Proceedings of the Companion of The Web Conference 2021, 2021

FairUMAP 2021: The 4th Workshop on Fairness in User Modeling, Adaptation and Personalization.

Bamshad Mobasher, Styliani Kleanthous, Bettina Berendt, Jahna Otterbacher, Tsvi Kuflik, Avital Shulner-Tal

Proceedings of the Adjunct Publication of the 29th ACM Conference on User Modeling, 2021

User-centered Evaluation of Popularity Bias in Recommender Systems.

Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher, Edward C. Malthouse

Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 2021

How does the User's Knowledge of the Recommender Influence their Behavior?

Muheeb Faizan Ghori, Arman Dehpanah, Jonathan Gemmell, Hamed Qahri-Saremi, Bamshad Mobasher

Proceedings of the 8th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

Workshop on Context-Aware Recommender Systems (CARS) 2021.

Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

ComplexRec 2021: Fifth Workshop on Recommendation in Complex Environments.

Himan Abdollahpouri, Toine Bogers, Bamshad Mobasher, Casper Petersen, Maria Soledad Pera

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Player Modeling using Behavioral Signals in Competitive Online Games.

Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell, Bamshad Mobasher

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021

Evaluating Team Skill Aggregation in Online Competitive Games.

Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell, Bamshad Mobasher

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

2020

Research directions in session-based and sequential recommendation.

Dietmar Jannach, Bamshad Mobasher, Shlomo Berkovsky

User Model. User Adapt. Interact., 2020

Report on the fourth workshop on recommendation in complex environments: (ComplexRec 2020).

Toine Bogers, Marijn Koolen, Bamshad Mobasher, Casper Petersen, Alexander Tuzhilin

SIGIR Forum, 2020

The Evaluation of Rating Systems in Online Free-for-All Games.

Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell, Bamshad Mobasher

CoRR, 2020

Addressing the Multistakeholder Impact of Popularity Bias in Recommendation Through Calibration.

Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher

CoRR, 2020

Using Social Tag Embedding in a Collaborative Filtering Approach for Recommender Systems.

Diego Sánchez-Moreno, María N. Moreno García, Nasim Sonboli, Bamshad Mobasher, Robin Burke

Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020

Opportunistic Multi-aspect Fairness through Personalized Re-ranking.

Nasim Sonboli, Farzad Eskandanian, Robin Burke, Weiwen Liu, Bamshad Mobasher

Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

FairUMAP 2020: The 3rd Workshop on Fairness in User Modeling, Adaptation and Personalization.

Bamshad Mobasher, Styliani Kleanthous, Michael D. Ekstrand, Bettina Berendt, Jahna Otterbacher, Avital Shulner-Tal

Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

UMAP 2020 Fairness in User Modeling, Adaptation and Personalization (FairUMAP 2020) Chairs' Welcome.

Bamshad Mobasher, Styliani Kleanthous, Bettina Berendt, Michael D. Ekstrand, Jahna Otterbacher, Avital Shulner-Tal

Proceedings of the Adjunct Publication of the 28th ACM Conference on User Modeling, 2020

FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems.

Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke

Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

Using Stable Matching to Optimize the Balance between Accuracy and Diversity in Recommendation.

Farzad Eskandanian, Bamshad Mobasher

Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

ComplexRec 2020: Workshop on Recommendation in Complex Environments.

Toine Bogers, Marijn Koolen, Casper Petersen, Bamshad Mobasher, Alexander Tuzhilin

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Workshop on Context-Aware Recommender Systems.

Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation.

Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Calibration in Collaborative Filtering Recommender Systems: a User-Centered Analysis.

Kun Lin, Nasim Sonboli, Bamshad Mobasher, Robin Burke

Proceedings of the HT '20: 31st ACM Conference on Hypertext and Social Media, 2020

Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems.

Masoud Mansoury, Himan Abdollahpouri, Jessie Smith, Arman Dehpanah, Mykola Pechenizkiy, Bamshad Mobasher

Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

Feedback Loop and Bias Amplification in Recommender Systems.

Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy, Bamshad Mobasher, Robin Burke

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Children with Autism and Technology Use: A Case Study of the Diary Method.

Cynthia Putnam, Bamshad Mobasher

Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

2019

Data Science Summer Academy for Chicago Public School Students.

Bamshad Mobasher, Lucia Dettori, Daniela Raicu, Raffaella Settimi, Nasim Sonboli, Monica Stettler

SIGKDD Explor., 2019

The Impact of Popularity Bias on Fairness and Calibration in Recommendation.

Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher

CoRR, 2019

UMAP 2019 Theory, Reflection, and Opinion Track: Chairs' Welcome and Overview.

Geert-Jan Houben, Bamshad Mobasher

Proceedings of the Adjunct Publication of the 27th Conference on User Modeling, 2019

Power of the Few: Analyzing the Impact of Influential Users in Collaborative Recommender Systems.

Farzad Eskandanian, Nasim Sonboli, Bamshad Mobasher

Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization, 2019

FairUMAP 2019 Chairs' Welcome Overview.

Bettina Berendt, Veronika Bogina, Robin Burke, Michael D. Ekstrand, Alan Hartman, Styliani Kleanthous, Tsvi Kuflik, Bamshad Mobasher, Jahna Otterbacher

Proceedings of the Adjunct Publication of the 27th Conference on User Modeling, 2019

Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison.

Masoud Mansoury, Bamshad Mobasher, Robin Burke, Mykola Pechenizkiy

Proceedings of the Workshop on Recommendation in Multi-stakeholder Environments co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019), 2019

Crank up the Volume: Preference Bias Amplification in Collaborative Recommendation.

Kun Lin, Nasim Sonboli, Bamshad Mobasher, Robin Burke

Proceedings of the Workshop on Recommendation in Multi-stakeholder Environments co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019), 2019

Overview of the Workshop on Recommendation in Complex Scenarios 2019 (ComplexRec 2019).

Marijn Koolen, Toine Bogers, Bamshad Mobasher, Alexander Tuzhilin

Proceedings of the Workshop on Recommendation in Complex Scenarios co-located with 13th ACM Conference on Recommender Systems (RecSys 2019), 2019

Third workshop on recommendation in complex scenarios (ComplexRec 2019).

Marijn Koolen, Toine Bogers, Bamshad Mobasher, Alexander Tuzhilin

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Does the User Have A Theory of the Recommender? A Pilot Study.

Muheeb Faizan Ghori, Arman Dehpanah, Jonathan Gemmell, Hamed Qahri-Saremi, Bamshad Mobasher

Proceedings of the 6th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 13th ACM Conference on Recommender Systems(RecSys 2019), 2019

The Unfairness of Popularity Bias in Recommendation.

Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher

Proceedings of the Workshop on Recommendation in Multi-stakeholder Environments co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019), 2019

Modeling the Dynamics of User Preferences for Sequence-Aware Recommendation Using Hidden Markov Models.

Farzad Eskandanian, Bamshad Mobasher

Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

Managing Popularity Bias in Recommender Systems with Personalized Re-Ranking.

Himan Abdollahpouri, Robin Burke, Bamshad Mobasher

Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

2018

Detecting Changes in User Preferences using Hidden Markov Models for Sequential Recommendation Tasks.

Farzad Eskandanian, Bamshad Mobasher

CoRR, 2018

Value-Aware Item Weighting for Long-Tail Recommendation.

Himan Abdollahpouri, Robin Burke, Bamshad Mobasher

CoRR, 2018

UMAP 2018 Fairness in User Modeling, Adaptation and Personalization (FairUMAP 2018) Chairs' Welcome & Organization: Preface.

Bamshad Mobasher, Robin Burke, Michael D. Ekstrand, Bettina Berendt

Proceedings of the Adjunct Publication of the 26th Conference on User Modeling, 2018

2nd workshop on recommendation in complex scenarios (complexrec 2018).

Toine Bogers, Marijn Koolen, Bamshad Mobasher, Alan Said, Casper Petersen

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Inferring User Expertise from Social Tagging in Music Recommender Systems for Streaming Services.

Diego Sánchez-Moreno, María N. Moreno García, Nasim Sonboli, Bamshad Mobasher, Robin Burke

Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018

Context-Aware Recommendations.

Yong Zheng, Bamshad Mobasher

Proceedings of the Collaborative Recommendations, 2018

2017

Emotions in Context-Aware Recommender Systems.

Yong Zheng, Bamshad Mobasher, Robin Burke

Proceedings of the Emotions and Personality in Personalized Services, 2017

Multirelational Recommendation in Heterogeneous Networks.

Fatemeh Vahedian, Robin Burke, Bamshad Mobasher

ACM Trans. Web, 2017

Weighted Random Walk Sampling for Multi-Relational Recommendation.

Fatemeh Vahedian, Robin D. Burke, Bamshad Mobasher

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

UMAP 2017 THUM Workshop Chairs' Welcome & Organization.

Cataldo Musto, Amon Rapp, Veronika Bogina, Federica Cena, Frank Hopfgartner, Judy Kay, David Konopnicki, Tsvi Kuflik, Bamshad Mobasher, Giovanni Semeraro

Proceedings of the Adjunct Publication of the 25th Conference on User Modeling, 2017

A Clustering Approach for Personalizing Diversity in Collaborative Recommender Systems.

Farzad Eskandanian, Bamshad Mobasher, Robin Burke

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

Recommender Systems as Multistakeholder Environments.

Himan Abdollahpouri, Robin Burke, Bamshad Mobasher

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

Workshop on Recommendation in Complex Scenarios: (ComplexRec 2017).

Toine Bogers, Marijn Koolen, Bamshad Mobasher, Alan Said, Alexander Tuzhilin

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Controlling Popularity Bias in Learning-to-Rank Recommendation.

Himan Abdollahpouri, Robin Burke, Bamshad Mobasher

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Using Uncertain Graphs to Automatically Generate Event Flows from News Stories.

Laura Christiansen, Bamshad Mobasher, Robin Burke

Proceedings of the Workshops Proceedings and Tutorials of the 28th ACM Conference on Hypertext and Social Media (HT 2017), 2017

2016

User-Oriented Context Suggestion.

Yong Zheng, Bamshad Mobasher, Robin Burke

Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

Towards Multi-Stakeholder Utility Evaluation of Recommender Systems.

Robin D. Burke, Himan Abdollahpouri, Bamshad Mobasher, Trinadh Gupta

Proceedings of the Late-breaking Results, 2016

Weighted Random Walks for Meta-Path Expansion in Heterogeneous Networks.

Fatemeh Vahedian, Robin D. Burke, Bamshad Mobasher

Proceedings of the Poster Track of the 10th ACM Conference on Recommender Systems (RecSys 2016), 2016

User Segmentation for Controlling Recommendation Diversity.

Farzad Eskandanian, Bamshad Mobasher, Robin D. Burke

Proceedings of the Poster Track of the 10th ACM Conference on Recommender Systems (RecSys 2016), 2016

Meta-Path Selection for Extended Multi-Relational Matrix Factorization.

Fatemeh Vahedian, Robin D. Burke, Bamshad Mobasher

Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

2015

Similarity-Based Context-Aware Recommendation.

Yong Zheng, Bamshad Mobasher, Robin D. Burke

Proceedings of the Web Information Systems Engineering - WISE 2015, 2015

Integrating Context Similarity with Sparse Linear Recommendation Model.

Yong Zheng, Bamshad Mobasher, Robin D. Burke

Proceedings of the User Modeling, Adaptation and Personalization, 2015

User-Constrained Clustering in Online Requirements Forums.

Chuan Duan, Horatiu Dumitru, Jane Cleland-Huang, Bamshad Mobasher

Proceedings of the Requirements Engineering: Foundation for Software Quality, 2015

Network-Based Extension of Multi-Relational Factorization Models.

Fatemeh Vahedian, Robin D. Burke, Bamshad Mobasher

Proceedings of the Poster Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Adapting Recommendations to Contextual Changes Using Hierarchical Hidden Markov Models.

Mehdi Hosseinzadeh Aghdam, Negar Hariri, Bamshad Mobasher, Robin D. Burke

Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Incorporating Context Correlation into Context-aware Matrix Factorization.

Yong Zheng, Bamshad Mobasher, Robin D. Burke

Proceedings of the IJCAI 2015 Joint Workshop on Constraints and Preferences for Configuration and Recommendation and Intelligent Techniques for Web Personalization co-located with the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), 2015

Adapting to User Preference Changes in Interactive Recommendation.

Negar Hariri, Bamshad Mobasher, Robin Burke

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

CARSKit: A Java-Based Context-Aware Recommendation Engine.

Yong Zheng, Bamshad Mobasher, Robin D. Burke

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

Context Recommendation Using Multi-label Classification.

Yong Zheng, Bamshad Mobasher, Robin D. Burke

Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

User Partitioning Hybrid for Tag Recommendation.

Jonathan Gemmell, Bamshad Mobasher, Robin D. Burke

Proceedings of the User Modeling, Adaptation, and Personalization, 2014

Hybrid Recommendation in Heterogeneous Networks.

Robin D. Burke, Fatemeh Vahedian, Bamshad Mobasher

Proceedings of the User Modeling, Adaptation, and Personalization, 2014

Splitting approaches for context-aware recommendation: an empirical study.

Yong Zheng, Robin D. Burke, Bamshad Mobasher

Proceedings of the Symposium on Applied Computing, 2014

CSLIM: contextual SLIM recommendation algorithms.

Yong Zheng, Bamshad Mobasher, Robin D. Burke

Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

The sixth ACM RecSys workshop on recommender systems and the social web.

Dietmar Jannach, Jill Freyne, Werner Geyer, Ido Guy, Andreas Hotho, Bamshad Mobasher

Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Context adaptation in interactive recommender systems.

Negar Hariri, Bamshad Mobasher, Robin D. Burke

Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

The recommender problem revisited: morning tutorial.

Xavier Amatriain, Bamshad Mobasher

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Resource Recommendation in Social Annotation Systems Based on User Partitioning.

Jonathan Gemmell, Bamshad Mobasher, Robin D. Burke

Proceedings of the E-Commerce and Web Technologies - 15th International Conference, 2014

Deviation-Based Contextual SLIM Recommenders.

Yong Zheng, Bamshad Mobasher, Robin D. Burke

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Recommendation Systems in Requirements Discovery.

Negar Hariri, Carlos Castro-Herrera, Jane Cleland-Huang, Bamshad Mobasher

Proceedings of the Recommendation Systems in Software Engineering, 2014

2013

Supporting Domain Analysis through Mining and Recommending Features from Online Product Listings.

Negar Hariri, Carlos Castro-Herrera, Mehdi Mirakhorli, Jane Cleland-Huang, Bamshad Mobasher

IEEE Trans. Software Eng., 2013

Recommendation with Differential Context Weighting.

Yong Zheng, Robin D. Burke, Bamshad Mobasher

Proceedings of the User Modeling, Adaptation, and Personalization, 2013

The Role of Emotions in Context-aware Recommendation.

Yong Zheng, Bamshad Mobasher, Robin D. Burke

Proceedings of the 3rd Workshop on Human Decision Making in Recommender Systems in conjunction with the 7th ACM Conference on Recommender Systems (RecSys 2013), 2013

The fifth ACM RecSys workshop on recommender systems and the social web.

Bamshad Mobasher, Dietmar Jannach, Werner Geyer, Jill Freyne, Andreas Hotho, Sarabjot Singh Anand, Ido Guy

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Query-driven context aware recommendation.

Negar Hariri, Bamshad Mobasher, Robin D. Burke

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

2012

Resource recommendation in social annotation systems: A linear-weighted hybrid approach.

Jonathan Gemmell, Thomas Schimoler, Bamshad Mobasher, Robin D. Burke

J. Comput. Syst. Sci., 2012

Guest editorial: special issue on a decade of mining the Web.

Myra Spiliopoulou, Bamshad Mobasher, Olfa Nasraoui, Osmar R. Zaïane

Data Min. Knowl. Discov., 2012

Using social tags to infer context in hybrid music recommendation.

Negar Hariri, Bamshad Mobasher, Robin D. Burke

Proceedings of the Twelfth International Workshop on Web Information and Data Management, 2012

Modeling topic trends on the social web using temporal signatures.

Laura Christiansen, Thomas Schimoler, Robin D. Burke, Bamshad Mobasher

Proceedings of the Twelfth International Workshop on Web Information and Data Management, 2012

4th ACM RecSys workshop on recommender systems and the social web.

Bamshad Mobasher, Dietmar Jannach, Werner Geyer, Andreas Hotho

Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

Context-aware music recommendation based on latenttopic sequential patterns.

Negar Hariri, Bamshad Mobasher, Robin D. Burke

Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

Recommending source code for use in rapid software prototypes.

Collin McMillan, Negar Hariri, Denys Poshyvanyk, Jane Cleland-Huang, Bamshad Mobasher

Proceedings of the 34th International Conference on Software Engineering, 2012

Differential Context Relaxation for Context-Aware Travel Recommendation.

Yong Zheng, Robin D. Burke, Bamshad Mobasher

Proceedings of the E-Commerce and Web Technologies - 13th International Conference, 2012

2011

Recommender Systems in Requirements Engineering.

Bamshad Mobasher, Jane Cleland-Huang

AI Mag., 2011

Context-Aware Recommender Systems.

Gediminas Adomavicius, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin

AI Mag., 2011

Tag-Based Resource Recommendation in Social Annotation Applications.

Jonathan Gemmell, Thomas Schimoler, Bamshad Mobasher, Robin D. Burke

Proceedings of the User Modeling, Adaption and Personalization, 2011

Context-Aware Recommendation Based On Review Mining.

Negar Hariri, Bamshad Mobasher, Robin Burke, Yong Zheng

Proceedings of the 9th Workshop on Intelligent Techniques for Web Personalization & Recommender Systems, 2011

On-demand feature recommendations derived from mining public product descriptions.

Horatiu Dumitru, Marek Gibiec, Negar Hariri, Jane Cleland-Huang, Bamshad Mobasher, Carlos Castro-Herrera, Mehdi Mirakhorli

Proceedings of the 33rd International Conference on Software Engineering, 2011

Recommendation by Example in Social Annotation Systems.

Jonathan Gemmell, Thomas Schimoler, Bamshad Mobasher, Robin D. Burke

Proceedings of the E-Commerce and Web Technologies - 12th International Conference, 2011

2010

Ontology-Based Collaborative Recommendation.

Ahu Sieg, Bamshad Mobasher, Robin Burke

Proceedings of the 8th Workshop on Intelligent Techniques for Web Personalization & Recommender Systems, 2010

Improving the effectiveness of collaborative recommendation with ontology-based user profiles.

Ahu Sieg, Bamshad Mobasher, Robin Burke

Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems, 2010

2nd workshop on recommender systems and the social web.

Werner Geyer, Jill Freyne, Bamshad Mobasher, Sarabjot S. Anand, Casey Dugan

Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

Resource Recommendation in Collaborative Tagging Applications.

Jonathan Gemmell, Thomas Schimoler, Bamshad Mobasher, Robin D. Burke

Proceedings of the E-Commerce and Web Technologies, 11th International Conference, 2010

Hybrid tag recommendation for social annotation systems.

Jonathan Gemmell, Thomas Schimoler, Bamshad Mobasher, Robin D. Burke

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009

Web Mining Overview.

Bamshad Mobasher

Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Preface to the special issue on data mining for personalization.

Bamshad Mobasher, Alexander Tuzhilin

User Model. User Adapt. Interact., 2009

AAAI 2008 Workshop Reports.

Razvan C. Bunescu, Vitor R. Carvalho, Jan Chomicki, Vincent Conitzer, Michael T. Cox, Virginia Dignum, Zachary Dodds, Mark Dredze, David Furcy, Evgeniy Gabrilovich, Mehmet H. Göker, Hans W. Guesgen, Haym Hirsh, Dietmar Jannach, Ulrich Junker, Wolfgang Ketter, Alfred Kobsa, Sven Koenig, Tessa A. Lau, Lundy Lewis, Eric T. Matson, Ted Metzler, Rada Mihalcea, Bamshad Mobasher, Joelle Pineau, Pascal Poupart, Anita Raja, Wheeler Ruml, Norman M. Sadeh, Guy Shani, Daniel G. Shapiro, Sarabjot Singh Anand, Matthew E. Taylor, Kiri Wagstaff, Trey Smith, William E. Walsh, Rong Zhou

AI Mag., 2009

A recommender system for requirements elicitation in large-scale software projects.

Carlos Castro-Herrera, Chuan Duan, Jane Cleland-Huang, Bamshad Mobasher

Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009

Workshop on recommender systems and the social web.

Dietmar Jannach, Werner Geyer, Casey Dugan, Jill Freyne, Sarabjot S. Anand, Bamshad Mobasher, Alfred Kobsa

Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

The impact of ambiguity and redundancy on tag recommendation in folksonomies.

Jonathan Gemmell, Maryam Ramezani, Thomas Schimoler, Laura Christiansen, Bamshad Mobasher

Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

A recommender system for dynamically evolving online forums.

Carlos Castro-Herrera, Jane Cleland-Huang, Bamshad Mobasher

Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

Enhancing Stakeholder Profiles to Improve Recommendations in Online Requirements Elicitation.

Carlos Castro-Herrera, Jane Cleland-Huang, Bamshad Mobasher

Proceedings of the RE 2009, 17th IEEE International Requirements Engineering Conference, Atlanta, Georgia, USA, August 31, 2009

A Fast Effective Multi-Channeled Tag Recommender.

Jonathan Gemmell, Maryam Ramezani, Thomas Schimoler, Laura Christiansen, Bamshad Mobasher

Proceedings of ECML PKDD (The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases) Discovery Challenge 2009, 2009

Adapting K-Nearest Neighbor for Tag Recommendation in Folksonomies.

Jonathan Gemmell, Thomas Schimoler, Maryam Ramezani, Bamshad Mobasher

Proceedings of the 7th Workshop on Intelligent Techniques for Web Personalization & Recommender Systems (ITWP'09), Pasadena, California, USA, July 11-17, 2009 in conjunction with the 21st International Joint Conference on Artificial Intelligence, 2009

Evaluating the Impact of Attacks in Collaborative Tagging Environments.

Maryam Ramezani, Jeff J. Sandvig, Thomas Schimoler, Jonathan Gemmell, Bamshad Mobasher, Robin D. Burke

Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

2008

WebKDD 2008: 10 years of knowledge discovery on the web post-workshop report.

Olfa Nasraoui, Myra Spiliopoulou, Osmar R. Zaïane, Jaideep Srivastava, Bamshad Mobasher

SIGKDD Explor., 2008

A Survey of Collaborative Recommendation and the Robustness of Model-Based Algorithms.

Jeff J. Sandvig, Bamshad Mobasher, Robin D. Burke

IEEE Data Eng. Bull., 2008

Personalized recommendation in social tagging systems using hierarchical clustering.

Andriy Shepitsen, Jonathan Gemmell, Bamshad Mobasher, Robin D. Burke

Proceedings of the 2008 ACM Conference on Recommender Systems, 2008

Using Data Mining and Recommender Systems to Facilitate Large-Scale, Open, and Inclusive Requirements Elicitation Processes.

Carlos Castro-Herrera, Chuan Duan, Jane Cleland-Huang, Bamshad Mobasher

Proceedings of the 16th IEEE International Requirements Engineering Conference, 2008

International workshop on recommendation and collaboration (ReColl 2008).

Lawrence D. Bergman, Jihie Kim, Bamshad Mobasher, Stefan M. Rüger, Stefan Siersdorfer, Sergej Sizov, Markus Stolze

Proceedings of the 13th International Conference on Intelligent User Interfaces, 2008

Using data mining and recommender systems to scale up the requirements process.

Jane Cleland-Huang, Bamshad Mobasher

Proceedings of the 2nd international workshop on Ultra-large-scale software-intensive systems, 2008

Personalizing Navigation in Folksonomies Using Hierarchical Tag Clustering.

Jonathan Gemmell, Andriy Shepitsen, Bamshad Mobasher, Robin D. Burke

Proceedings of the Data Warehousing and Knowledge Discovery, 10th International Conference, 2008

A consensus based approach to constrained clustering of software requirements.

Chuan Duan, Jane Cleland-Huang, Bamshad Mobasher

Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007

Toward trustworthy recommender systems: An analysis of attack models and algorithm robustness.

Bamshad Mobasher, Robin D. Burke, Runa Bhaumik, Chad Williams

ACM Trans. Internet Techn., 2007

Introduction to intelligent techniques for Web personalization.

Sarabjot S. Anand, Bamshad Mobasher

ACM Trans. Internet Techn., 2007

Defending recommender systems: detection of profile injection attacks.

Chad Williams, Bamshad Mobasher, Robin D. Burke

Serv. Oriented Comput. Appl., 2007

WebKDD/SNAKDD 2007: web mining and social network analysis post-workshop report.

Haizheng Zhang, John Yen, C. Lee Giles, Bamshad Mobasher, Myra Spiliopoulou, Jaideep Srivastava, Olfa Nasraoui, Andrew McCallum

SIGKDD Explor., 2007

Recommender Systems.

Bamshad Mobasher

Künstliche Intell., 2007

Attacks and Remedies in Collaborative Recommendation.

Bamshad Mobasher, Robin D. Burke, Runa Bhaumik, Jeff J. Sandvig

IEEE Intell. Syst., 2007

Learning Ontology-Based User Profiles: A Semantic Approach to Personalized Web Search.

Ahu Sieg, Bamshad Mobasher, Robin D. Burke

IEEE Intell. Informatics Bull., 2007

AAAI-07 Workshop Reports.

Sarabjot Singh Anand, Daniel Bahls, Catherina Burghart, Mark H. Burstein, Huajun Chen, John Collins, Thomas G. Dietterich, Jon Doyle, Chris Drummond, William Elazmeh, Christopher W. Geib, Judy Goldsmith, Hans W. Guesgen, Jim Hendler, Dietmar Jannach, Nathalie Japkowicz, Ulrich Junker, Gal A. Kaminka, Alfred Kobsa, Jérôme Lang, David B. Leake, Lundy Lewis, Gerard Ligozat, Sofus A. Macskassy, Drew V. McDermott, Ted Metzler, Bamshad Mobasher, Ullas Nambiar, Zaiqing Nie, Klas Orsvärn, Barry O'Sullivan, David V. Pynadath, Jochen Renz, Rita V. Rodríguez, Thomas Roth-Berghofer, Stefan Schulz, Rudi Studer, Yimin Wang, Michael P. Wellman

AI Mag., 2007

Robustness of collaborative recommendation based on association rule mining.

Jeff J. Sandvig, Bamshad Mobasher, Robin D. Burke

Proceedings of the 2007 ACM Conference on Recommender Systems, 2007

Ontological User Profiles for Representing Context in Web Search.

Ahu Sieg, Bamshad Mobasher, Robin D. Burke

Proceedings of the 2007 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2007

Impact of Relevance Measures on the Robustness and Accuracy of Collaborative Filtering.

Jeff J. Sandvig, Bamshad Mobasher, Robin D. Burke

Proceedings of the E-Commerce and Web Technologies, 8th International Conference, 2007

Crawling Attacks Against Web-based Recommender Systems.

Runa Bhaumik, Robin D. Burke, Bamshad Mobasher

Proceedings of the 2007 International Conference on Data Mining, 2007

Representing Context in Web Search with Ontological User Profiles.

Ahu Sieg, Bamshad Mobasher, Robin D. Burke

Proceedings of the Modeling and Using Context, 2007

Web search personalization with ontological user profiles.

Ahu Sieg, Bamshad Mobasher, Robin D. Burke

Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, 2007

Data Mining for Web Personalization.

Bamshad Mobasher

Proceedings of the Adaptive Web, Methods and Strategies of Web Personalization, 2007

2006

WebKDD 2006: web mining and web usage analysis post-workshop report.

Olfa Nasraoui, Myra Spiliopoulou, Jaideep Srivastava, Bamshad Mobasher, Brij M. Masand

SIGKDD Explor., 2006

Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop Program.

Wolfgang Achtner, Esma Aïmeur, Sarabjot Singh Anand, Douglas E. Appelt, Naveen Ashish, Tiffany Barnes, Joseph E. Beck, M. Bernardine Dias, Prashant Doshi, Chris Drummond, William Elazmeh, Ariel Felner, Dayne Freitag, Hector Geffner, Christopher W. Geib, Richard Goodwin, Robert C. Holte, Frank Hutter, Fair Isaac, Nathalie Japkowicz, Gal A. Kaminka, Sven Koenig, Michail G. Lagoudakis, David B. Leake, Lundy Lewis, Hugo Liu, Ted Metzler, Rada Mihalcea, Bamshad Mobasher, Pascal Poupart, David V. Pynadath, Thomas Roth-Berghofer, Wheeler Ruml, Stefan Schulz, Sven Schwarz, Stephanie Seneff, Amit P. Sheth, Ron Sun, Michael Thielscher, Afzal Upal, Jason D. Williams, Steve J. Young, Dmitry Zelenko

AI Mag., 2006

Detecting Profile Injection Attacks in Collaborative Recommender Systems.

Robin D. Burke, Bamshad Mobasher, Chad Williams, Runa Bhaumik

Proceedings of the Eighth IEEE International Conference on E-Commerce Technology (CEC 2006) / Third IEEE International Conference on Enterprise Computing, 2006

Contextual Recommendation.

Sarabjot S. Anand, Bamshad Mobasher

Proceedings of the From Web to Social Web: Discovering and Deploying User and Content Profiles, 2006

Detecting Profile Injection Attacks in Collaborative Filtering: A Classification-Based Approach.

Chad Williams, Bamshad Mobasher, Robin D. Burke, Runa Bhaumik

Proceedings of the Advances in Web Mining and Web Usage Analysis, 2006

Classification features for attack detection in collaborative recommender systems.

Robin D. Burke, Bamshad Mobasher, Chad Williams, Runa Bhaumik

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Web User Segmentation Based on a Mixture of Factor Analyzers.

Yanzan Zhou, Bamshad Mobasher

Proceedings of the E-Commerce and Web Technologies, 7th International Conference, 2006

Model-Based Collaborative Filtering as a Defense against Profile Injection Attacks.

Bamshad Mobasher, Robin D. Burke, Jeff J. Sandvig

Proceedings of the Proceedings, 2006

2005

WebKDD 2005: web mining and web usage analysis post-workshop report.

Olfa Nasraoui, Osmar R. Zaïane, Myra Spiliopoulou, Bamshad Mobasher, Brij M. Masand, Philip S. Yu

SIGKDD Explor., 2005

The Workshop Program at the Nineteenth National Conference on Artificial Intelligence.

Ion Muslea, Virginia Dignum, Daniel D. Corkill, Catholijn M. Jonker, Frank Dignum, Silvia Coradeschi, Alessandro Saffiotti, Dan Fu, Jeff Orkin, William Cheetham, Kai Goebel, Piero P. Bonissone, Leen-Kiat Soh, Randolph M. Jones, Robert E. Wray III, Matthias Scheutz, Daniela Pucci de Farias, Shie Mannor, Georgios Theocharous, Doina Precup, Bamshad Mobasher, Sarabjot S. Anand, Bettina Berendt, Andreas Hotho, Hans W. Guesgen, Michael T. Rosenstein, Mohammad Ghavamzadeh

AI Mag., 2005

Task-Oriented Web User Modeling for Recommendation.

Xin Jin, Yanzan Zhou, Bamshad Mobasher

Proceedings of the User Modeling 2005, 2005

Analysis and Detection of Segment-Focused Attacks Against Collaborative Recommendation.

Bamshad Mobasher, Robin D. Burke, Chad Williams, Runa Bhaumik

Proceedings of the Advances in Web Mining and Web Usage Analysis, 2005

A maximum entropy web recommendation system: combining collaborative and content features.

Xin Jin, Yanzan Zhou, Bamshad Mobasher

Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

A Web Recommendation System Based on Maximum Entropy.

Xin Jin, Bamshad Mobasher, Yanzan Zhou

Proceedings of the International Symposium on Information Technology: Coding and Computing (ITCC 2005), 2005

Segment-Based Injection Attacks against Collaborative Filtering Recommender Systems.

Robin D. Burke, Bamshad Mobasher, Runa Bhaumik, Chad Williams

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

2004

Web Usage Mining and Personalization.

Bamshad Mobasher

Proceedings of the Practical Handbook of Internet Computing., 2004

WebKDD 2004: web mining and web usage analysis post-workshop report.

Olfa Nasraoui, Bamshad Mobasher, Brij M. Masand, Bing Liu

SIGKDD Explor., 2004

A Recommendation Model Based on Latent Principal Factors in Web Navigation Data.

Yanzan Zhou, Xin Jin, Bamshad Mobasher

Proceedings of the Third International Workshop on Web Dynamics, 2004

Web usage mining based on probabilistic latent semantic analysis.

Xin Jin, Yanzan Zhou, Bamshad Mobasher

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

2003

A Framework for the Evaluation of Session Reconstruction Heuristics in Web-Usage Analysis.

Myra Spiliopoulou, Bamshad Mobasher, Bettina Berendt, Miki Nakagawa

INFORMS J. Comput., 2003

Intelligent Techniques for Web Personalization.

Sarabjot S. Anand, Bamshad Mobasher

Proceedings of the Intelligent Techniques for Web Personalization, IJCAI 2003 Workshop, 2003

Concept Based Query Enhancement in the ARCH Search Agent.

Ahu Sieg, Bamshad Mobasher, Steven L. Lytinen, Robin D. Burke

Proceedings of the International Conference on Internet Computing, 2003

A Road Map to More Effective Web Personalization: Integrating Domain Knowledge with Web Usage Mining.

Honghua (Kathy) Dai, Bamshad Mobasher

Proceedings of the International Conference on Internet Computing, 2003

Semantically Enhanced Collaborative Filtering on the Web.

Bamshad Mobasher, Xin Jin, Yanzan Zhou

Proceedings of the Web Mining: From Web to Semantic Web, 2003

2002

Discovery and Evaluation of Aggregate Usage Profiles for Web Personalization.

Bamshad Mobasher, Honghua Dai, Tao Luo, Miki Nakagawa

Data Min. Knowl. Discov., 2002

The Impact of Site Structure and User Environment on Session Reconstruction in Web Usage Analysis.

Bettina Berendt, Bamshad Mobasher, Miki Nakagawa, Myra Spiliopoulou

Proceedings of the WEBKDD 2002, 2002

Using Sequential and Non-Sequential Patterns in Predictive Web Usage Mining Tasks.

Bamshad Mobasher, Honghua Dai, Tao Luo, Miki Nakagawa

Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

2001

Decision Processes in Agent-Based Automated Contracting.

John Collins, Corey Bilot, Maria L. Gini, Bamshad Mobasher

IEEE Internet Comput., 2001

Effective personalization based on association rule discovery from web usage data.

Bamshad Mobasher, Honghua Dai, Tao Luo, Miki Nakagawa

Proceedings of the 3rd International Workshop on Web Information and Data Management (WIDM 2001), 2001

2000

Automatic personalization based on Web usage mining.

Bamshad Mobasher, Robert Cooley, Jaideep Srivastava

Commun. ACM, 2000

Integrating Web Usage and Content Mining for More Effective Personalization.

Bamshad Mobasher, Honghua Dai, Tao Luo, Yuqing Sun, Jiang Zhu

Proceedings of the Electronic Commerce and Web Technologies, 2000

1999

Data Preparation for Mining World Wide Web Browsing Patterns.

Robert Cooley, Bamshad Mobasher, Jaideep Srivastava

Knowl. Inf. Syst., 1999

Partitioning-based clustering for Web document categorization.

Daniel Boley, Maria L. Gini, Robert Gross, Eui-Hong Han, Kyle Hastings, George Karypis, Vipin Kumar, Bamshad Mobasher, Jerome Moore

Decis. Support Syst., 1999

Document Categorization and Query Generation on the World Wide Web Using WebACE.

Daniel Boley, Maria L. Gini, Robert Gross, Eui-Hong Han, Kyle Hastings, George Karypis, Vipin Kumar, Bamshad Mobasher, Jerome Moore

Artif. Intell. Rev., 1999

Bid Selection Strategies for Multi-agent Contracting in the Presence of Scheduling Constraints.

John Collins, Rashmi Sundareswara, Maria L. Gini, Bamshad Mobasher

Proceedings of the Agent Mediated Electronic Commerce II, 1999

Evaluating Risk: Flexibility and Feasibility in Multi-Agent Contracting.

John Collins, Maksim Tsvetovat, Rashmi Sundareswara, Joshua van Tonder, Maria L. Gini, Bamshad Mobasher

Proceedings of the Third Annual Conference on Autonomous Agents, 1999

1998

A client-side Web agent for document categorization.

Daniel Boley, Maria L. Gini, Kyle Hastings, Bamshad Mobasher, Jerry Moore

Internet Res., 1998

Hypergraph Based Clustering in High-Dimensional Data Sets: A Summary of Results.

Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad Mobasher

IEEE Data Eng. Bull., 1998

Bid Evaluation and Selection in the MAGNET Automated Contracting System.

Erik S. Steinmetz, John Collins, Scott Jamison, Rashmi Sundareswara, Bamshad Mobasher, Maria L. Gini

Proceedings of the Agent Mediated Electronic Commerce, 1998

WebACE: A Web Agent for Document Categorization and Exploration.

Eui-Hong Han, Daniel Boley, Maria L. Gini, Robert Gross, Kyle Hastings, George Karypis, Vipin Kumar, Bamshad Mobasher, Jerome Moore

Proceedings of the Second International Conference on Autonomous Agents, 1998

A Market Architecture for Multi-Agent Contracting.

John Collins, Ben Youngdahl, Scott Jamison, Bamshad Mobasher, Maria L. Gini

Proceedings of the Second International Conference on Autonomous Agents, 1998

1997

Multi-Valued Logic Programming Semantics: An Algebraic Approach.

Bamshad Mobasher, Don Pigozzi, Giora Slutzki

Theor. Comput. Sci., 1997

Magma: An Agent Based Virtual Market for Electronic Commerce.

Maksim Tsvetovatyy, Maria L. Gini, Bamshad Mobasher, Zbigniew Wieckowski

Appl. Artif. Intell., 1997

Web Mining: Information and Pattern Discovery on the World Wide Web.

Robert Cooley, Bamshad Mobasher, Jaideep Srivastava

Proceedings of the 9th International Conference on Tools with Artificial Intelligence, 1997

Clustering Based On Association Rule Hypergraphs.

Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad Mobasher

Proceedings of the Workshop on Research Issues on Data Mining and Knowledge Discovery, 1997

1993

Negation as Partial Failure.

Bamshad Mobasher, Jacek Leszczylowski, Don Pigozzi

Proceedings of the Logic Programming and Non-monotonic Reasoning, 1993