B. Mobasher

Bamshad Mobasher, Yong Zheng, Robin D. Burke, 2014, 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT).

The Unfairness of Popularity Bias in Recommendation pdf

Robin Burke, Bamshad Mobasher, Masoud Mansoury, 2019, RMSE@RecSys.

Bamshad Mobasher, Robin D. Burke, Himan Abdollahpouri, 2017, RecSys.

CARSKit: A Java-Based Context-Aware Recommendation Engine

Bamshad Mobasher, Yong Zheng, Robin D. Burke, 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW).

Integrating Context Similarity with Sparse Linear Recommendation Model

Bamshad Mobasher, Yong Zheng, Robin D. Burke, 2015, UMAP.

Recommendation with Differential Context Weighting

Bamshad Mobasher, Yong Zheng, Robin D. Burke, 2013, UMAP.

The Role of Emotions in Context-aware Recommendation

Bamshad Mobasher, Yong Zheng, Robin D. Burke, 2013, Decisions@RecSys.

Differential Context Relaxation for Context-Aware Travel Recommendation

Bamshad Mobasher, Yong Zheng, Robin D. Burke, 2012, EC-Web.

Multirelational Recommendation in Heterogeneous Networks

Bamshad Mobasher, Robin D. Burke, Fatemeh Vahedian, 2017, ACM Trans. Web.

Context-aware recommender systems

Gediminas Adomavicius, Alexander Tuzhilin, A. Tuzhilin, 2008, ACM Conference on Recommender Systems.

CARS: Workshop on Context-Aware Recommender Systems 2022

B. Mobasher, Francesco Ricci, Konstantin Bauman, 2022, RecSys.

Workshop on Context-Aware Recommender Systems (CARS) 2021

Francesco Ricci, Gediminas Adomavicius, Bamshad Mobasher, 2021, RecSys.

Flatter Is Better

Robin Burke, Bamshad Mobasher, Masoud Mansoury, 2021, ACM Trans. Intell. Syst. Technol..

Workshop on Context-Aware Recommender Systems

F. Ricci, A. Tuzhilin, B. Mobasher, 2020, RecSys.

Workshop on context-aware recommender systems

Gediminas Adomavicius, Bamshad Mobasher, Moshe Unger, 2019, RecSys.

Flatter Is Better pdf

Robin Burke, Bamshad Mobasher, Masoud Mansoury, 2019, ACM Trans. Intell. Syst. Technol..

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

Bamshad Mobasher, Farzad Eskandanian, B. Mobasher, 2019, FLAIRS.

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

Bamshad Mobasher, Farzad Eskandanian, B. Mobasher, 2018, ArXiv.

User-Oriented Context Suggestion

Bamshad Mobasher, Yong Zheng, Robin D. Burke, 2016, UMAP.

Bamshad Mobasher, Yong Zheng, Robin D. Burke, 2015, WISE.

Adapting Recommendations to Contextual Changes Using Hierarchical Hidden Markov Models

Robin Burke, Bamshad Mobasher, Negar Hariri, 2015, RecSys.

Incorporating Context Correlation into Context-aware Matrix Factorization

Bamshad Mobasher, Yong Zheng, Robin D. Burke, 2015, CPCR+ITWP@IJCAI.

Deviation-Based Contextual SLIM Recommenders

Bamshad Mobasher, Yong Zheng, Robin D. Burke, 2014, CIKM.

Context adaptation in interactive recommender systems

Bamshad Mobasher, Robin D. Burke, Negar Hariri, 2014, RecSys '14.

Splitting approaches for context-aware recommendation: an empirical study

Bamshad Mobasher, Yong Zheng, Robin D. Burke, 2014, SAC.

Query-driven context aware recommendation

Bamshad Mobasher, Robin D. Burke, Negar Hariri, 2013, RecSys.

Differential Context Modeling in Collaborative Filtering

Robin Burke, Bamshad Mobasher, Yong Zheng, 2013 .

Using social tags to infer context in hybrid music recommendation

Bamshad Mobasher, Robin D. Burke, Negar Hariri, 2012, WIDM '12.

Context-Aware Recommendation Based On Review Mining

Bamshad Mobasher, Yong Zheng, Robin D. Burke, 2011, ITWP@IJCAI.

Representing Context in Web Search with Ontological User Profiles

Bamshad Mobasher, Robin D. Burke, Ahu Sieg, 2007, CONTEXT.

Contextual Recommendation

Bamshad Mobasher, Sarabjot S. Anand, S. Anand, 2007, WebMine.

Task-Oriented Web User Modeling for Recommendation

Xin Jin, Bamshad Mobasher, Yanzan Zhou, 2005, User Modeling.

Proceedings of the 8th Knowledge discovery on the web international conference on Advances in web mining and web usage analysis

Jaideep Srivastava, Myra Spiliopoulou, Olfa Nasraoui, 2006 .

Bid Evaluation and Selection in the MAGNET Automated Contracting System

Maria L. Gini, John Collins, Rashmi Sundareswara, 1998, AMET.

A market architecture for multi-agent contracting

Maria L. Gini, John Collins, Bamshad Mobasher, 1998, AGENTS '98.

An Efficient Anytime Algorithm For Multiple-Component Bid Selection in Automated Contracting

Maria Gini, Maria L. Gini, John Collins, 1998 .

Temporal Strategies in a Multi-Agent Contracting Protocol

Maria Gini, Maria L. Gini, John Collins, 1997 .

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

Maria L. Gini, John Collins, Rashmi Sundareswara, 1999, Agent Mediated Electronic Commerce.

Workshop on Recommendation in Complex Scenarios

Marijn Koolen, Toine Bogers, Bamshad Mobasher, 2017, ACM Conference on Recommender Systems.

On-demand feature recommendations derived from mining public product descriptions

Jane Cleland-Huang, Marek Gibiec, Bamshad Mobasher, 2011, 2011 33rd International Conference on Software Engineering (ICSE).

Web usage mining based on probabilistic latent semantic analysis

Xin Jin, Bamshad Mobasher, Yanzan Zhou, 2004, KDD.

A Unified Approach to Personalization Based on Probabilistic Latent Semantic Models of Web Usage and Content

Bamshad Mobasher, Xin Jin, Yanzan Zhou, 2004 .

Effective personalization based on association rule discovery from web usage data

Tao Luo, Bamshad Mobasher, Miki Nakagawa, 2001, WIDM '01.

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

Vipin Kumar, Maria L. Gini, George Karypis, 1999, Artificial Intelligence Review.

Resource Recommendation for Social Tagging: A Multi-Channel Hybrid Approach

Robin Burke, Bamshad Mobasher, Jonathan Gemmell, 2010 .

User-centered Evaluation of Popularity Bias in Recommender Systems

Robin Burke, Bamshad Mobasher, Masoud Mansoury, 2021, UMAP.

Bamshad Mobasher, Robin D. Burke, Himan Abdollahpouri, 2019, FLAIRS.

Toward the Next Generation of News Recommender Systems

Bamshad Mobasher, Himan Abdollahpouri, Jeremy Gilbert, 2021, WWW.

Recommender Systems in Requirements Engineering

Jane Cleland-Huang, Bamshad Mobasher, J. Cleland-Huang, 2011, AI Mag..

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

Myra Spiliopoulou, Bettina Berendt, Bamshad Mobasher, 2003, INFORMS J. Comput..

Integrating Web Usage and Content Mining for More Effective Personalization

Tao Luo, Jiang Zhu, Bamshad Mobasher, 2000, EC-Web.

Creating adaptive Web sites through usage-based clustering of URLs

Jaideep Srivastava, Bamshad Mobasher, Robert Cooley, 1999, Proceedings 1999 Workshop on Knowledge and Data Engineering Exchange (KDEX'99) (Cat. No.PR00453).

Grouping Web page references into transactions for mining World Wide Web browsing patterns

Jaideep Srivastava, Bamshad Mobasher, Robert Cooley, 1997, Proceedings 1997 IEEE Knowledge and Data Engineering Exchange Workshop.

Clustering Based On Association Rule Hypergraphs

Vipin Kumar, George Karypis, Bamshad Mobasher, 1997, DMKD.

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

Myra Spiliopoulou, Bettina Berendt, Bamshad Mobasher, 2002, WEBKDD.

Towards Trustworthy Recommender Systems : An Analysis of Attack Models and Algorithm Robustness

Bamshad Mobasher, Robin D. Burke, Runa Bhaumik, 2007 .

Exploring the Impact of Profile Injection Attacks in Social Tagging Systems ?

Robin Burke, Bamshad Mobasher, Maryam Ramezani, 2008 .

ComplexRec 2017: Recommendation in Complex Scenarios

Marijn Koolen, Alan Said, Bamshad Mobasher, 2017, ACM Conference on Recommender Systems.

Robustness of collaborative recommendation based on association rule mining

Bamshad Mobasher, Robin D. Burke, Jeff J. Sandvig, 2007, RecSys '07.

Defending recommender systems: detection of profile injection attacks

Bamshad Mobasher, Robin D. Burke, Chad Williams, 2007, Service Oriented Computing and Applications.

Classification features for attack detection in collaborative recommender systems

Bamshad Mobasher, Robin D. Burke, Runa Bhaumik, 2006, KDD '06.

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

Bamshad Mobasher, Robin D. Burke, Runa Bhaumik, 2006, WEBKDD.

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

Osmar R Zaiane, M. Spiliopoulou, B. Mobasher, 2012, Data mining and knowledge discovery.

Personalizing Navigation in Folksonomies Using Hierarchical Tag Clustering

Bamshad Mobasher, Jonathan Gemmell, Robin D. Burke, 2008, DaWaK.

Analysis and Detection of Segment-Focused Attacks Against Collaborative Recommendation

Bamshad Mobasher, Robin D. Burke, Runa Bhaumik, 2005, WEBKDD.

Advances in Web Mining and Web Usage Analysis, 8th International Workshop on Knowledge Discovery on the Web, WebKDD 2006, Philadelphia, PA, USA, August 20, 2006, Revised Papers

John Yen, Jaideep Srivastava, Myra Spiliopoulou, 2007, WebKDD.

Discovery of Aggregate Usage Profiles for Web Personalization

Bamshad Mobasher, Yuqing Sun, Honghua Dai, 2000 .

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

Bamshad Mobasher, Muheeb Faizan Ghori, Arman Dehpanah, 2021, IntRS@RecSys.

Hybrid tag recommendation for social annotation systems

Bamshad Mobasher, Jonathan Gemmell, Robin D. Burke, 2010, CIKM.

Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis

John Yen, Jaideep Srivastava, Myra Spiliopoulou, 2007, KDD 2007.

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

Robin Burke, Bamshad Mobasher, Masoud Mansoury, 2020, UMAP.

Exposure-Aware Recommendation using Contextual Bandits

H. V. Hoof, B. Mobasher, M. Mansoury, 2022, ArXiv.

Decision Processes in Agent-Based Automated Contracting

Maria L. Gini, John Collins, Bamshad Mobasher, 2001, IEEE Internet Comput..

Detecting Profile Injection Attacks in Collaborative Recommender Systems

Bamshad Mobasher, Robin D. Burke, Runa Bhaumik, 2006, The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (CEC/EEE'06).

Segment-based injection attacks against collaborative filtering recommender systems

Bamshad Mobasher, Robin D. Burke, Runa Bhaumik, 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).

Adapting K-Nearest Neighbor for Tag Recommendation in Folksonomies

Bamshad Mobasher, Maryam Ramezani, Jonathan Gemmell, 2009, ITWP.

Using user’s local context to support local news

B. Mobasher, Payam Pourashraf, B. Mobasher, 2022, UMAP.

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

Bamshad Mobasher, Robin D. Burke, Jeff J. Sandvig, 2008, IEEE Data Eng. Bull..

Effectiveness of crawling attacks against web-based recommender systems

Robin Burke, Bamshad Mobasher, Runa Bhaumik, 2007, AAAI 2007.

Discovery and Evaluation of Aggregate Usage Profiles for Web Personalization

Tao Luo, Bamshad Mobasher, Honghua Dai, 2004, Data Mining and Knowledge Discovery.

Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems

Bamshad Mobasher, Masoud Mansoury, Arman Dehpanah, 2020, FLAIRS.

Towards Multi-Stakeholder Utility Evaluation of Recommender Systems

Bamshad Mobasher, Robin D. Burke, Himan Abdollahpouri, 2016, UMAP.

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

Mykola Pechenizkiy, Bamshad Mobasher, Masoud Mansoury, 2021, ACM Trans. Inf. Syst..

Attacks and Remedies in Collaborative Recommendation

Bamshad Mobasher, Robin D. Burke, Runa Bhaumik, 2007, IEEE Intelligent Systems.

Partitioning-based clustering for Web document categorization

Vipin Kumar, Maria L. Gini, George Karypis, 1999, Decis. Support Syst..

Recommender Systems as Multistakeholder Environments

Bamshad Mobasher, Robin D. Burke, Himan Abdollahpouri, 2017, UMAP.

Tag-based resource recommendation in social annotation applications

Bamshad Mobasher, Jonathan Gemmell, Robin D. Burke, 2011, UMAP'11.

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

B. Mobasher, Farzad Eskandanian, 2020, UMAP.

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

B. Masand, J. Srivastava, M. Spiliopoulou, 2006, SKDD.

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

Philip S. Yu, Myra Spiliopoulou, Osmar R. Zaïane, 2005, SKDD.

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

Bamshad Mobasher, Muheeb Faizan Ghori, Arman Dehpanah, 2020, Advances in Data Science and Information Engineering.

Introduction to intelligent techniques for Web personalization

Bamshad Mobasher, Sarabjot S. Anand, S. Anand, 2007, TOIT.

Web search personalization with ontological user profiles

Bamshad Mobasher, Robin D. Burke, Ahu Sieg, 2007, CIKM '07.

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

Bamshad Mobasher, Robin D. Burke, Ahu Sieg, 2007, IEEE Intell. Informatics Bull..

Ontological User Profiles for Personalized Web Search

Robin Burke, Bamshad Mobasher, Ahu Sieg, 2007 .

Research directions in session-based and sequential recommendation

Dietmar Jannach, Bamshad Mobasher, Shlomo Berkovsky, 2020, User Modeling and User-Adapted Interaction.

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

Andreas Hotho, Dietmar Jannach, Ido Guy, 2013, ACM Conference on Recommender Systems.

Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison pdf

Robin Burke, Bamshad Mobasher, Masoud Mansoury, 2019, RMSE@RecSys.

CSLIM: contextual SLIM recommendation algorithms

Bamshad Mobasher, Yong Zheng, Robin D. Burke, 2014, RecSys '14.

Weighted Random Walk Sampling for Multi-Relational Recommendation

Bamshad Mobasher, Robin D. Burke, Fatemeh Vahedian, 2017, UMAP.

Web User Segmentation Based on a Mixture of Factor Analyzers

Bamshad Mobasher, Yanzan Zhou, B. Mobasher, 2006, EC-Web.

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

B. Mobasher, R. Burke, Nasim Sonboli, 2020, 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT).

Hybrid Recommendation in Heterogeneous Networks

Bamshad Mobasher, Robin D. Burke, Fatemeh Vahedian, 2014, UMAP.

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

Bamshad Mobasher, Jonathan Gemmell, Robin D. Burke, 2012, J. Comput. Syst. Sci..

Recommendation by Example in Social Annotation Systems

Bamshad Mobasher, Jonathan Gemmell, Robin D. Burke, 2011, EC-Web.

Resource Recommendation in Collaborative Tagging Applications

Bamshad Mobasher, Jonathan Gemmell, Robin D. Burke, 2010, EC-Web.

Personalized Recommendation by Example in Social Annotation Systems

Robin Burke, Bamshad Mobasher, Jonathan Gemmell, 2011 .

Feedback Loop and Bias Amplification in Recommender Systems

R. Burke, B. Mobasher, Mykola Pechenizkiy, 2020, CIKM.

Generalized knowledge-based semantics for multi- valued logic programs

Bamshad Mobasher, B. Mobasher, 1994 .

A recommender system for dynamically evolving online forums

Jane Cleland-Huang, Bamshad Mobasher, Carlos Castro-Herrera, 2009, RecSys '09.

Personalization in Folksonomies Based on Tag Clustering

Robin Burke, Bamshad Mobasher, Jonathan Gemmell, 2008 .

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

R. Burke, B. Mobasher, Runa Bhaumik, 2007, TOIT.

R. Burke, B. Mobasher, Himan Abdollahpouri, 2019, FLAIRS.

Using Uncertain Graphs to Automatically Generate Event Flows from News Stories

Bamshad Mobasher, Robin D. Burke, Laura Christiansen, 2017, HT.

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

Robin Burke, Bamshad Mobasher, Nasim Sonboli, 2019, RMSE@RecSys.

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

Bamshad Mobasher, Nasim Sonboli, Farzad Eskandanian, 2019, UMAP.

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

Robin Burke, Bamshad Mobasher, Ahu Sieg, 2010, HetRec '10.

Enhancing Stakeholder Profiles to Improve Recommendations in Online Requirements Elicitation

Jane Cleland-Huang, Bamshad Mobasher, Carlos Castro-Herrera, 2009, 2009 17th IEEE International Requirements Engineering Conference.

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

Jane Cleland-Huang, Bamshad Mobasher, Chuan Duan, 2008, 2008 16th IEEE International Requirements Engineering Conference.

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

Bamshad Mobasher, Robin D. Burke, Jeff J. Sandvig, 2007, EC-Web.

Intelligent Techniques for Web Personalization

S. Anand, B. Mobasher, 2005, ITWP.

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

Bamshad Mobasher, Muheeb Faizan Ghori, Arman Dehpanah, 2019, IntRS@RecSys.

Ontology-Based Collaborative Recommendation

Bamshad Mobasher, Robin D. Burke, Ahu Sieg, 2010, ITWP@UMAP.

Detection of Obfuscated Attacks in Collaborative Recommender Systems 1

R. Burke, B. Mobasher, Runa Bhaumik, 2006 .

The Impact of Attack Profile Classification on the Robustness of Collaborative Recommendation

Robin Burke, Bamshad Mobasher, Runa Bhaumik, 2006 .

Profile Injection Attack Detection for Securing Collaborative Recommender Systems 1

Bamshad Mobasher, Chad Williams, B. Mobasher, 2006 .

Collaborative Recommendation Vulnerability To Focused Bias Injection Attacks

Robin Burke, Bamshad Mobasher, Runa Bhaumik, 2005 .

A Clustering Approach for Personalizing Diversity in Collaborative Recommender Systems

Bamshad Mobasher, Robin D. Burke, Farzad Eskandanian, 2017, UMAP.

Integrating Web Usage and Content Mining for More Effective Personalization

H. Dai, B. Mobasher, Jiang Zhu, 2000, EC-Web.

Representing User Information Context with Ontologies

Robin Burke, Bamshad Mobasher, Ahu Sieg, 2005 .

Inferring User’s Information Context from User Profiles and Concept Hierarchies

Robin Burke, Bamshad Mobasher, Ahu Sieg, 2004 .

Impact of Site Characteristics on Recommendation Models Based On Association Rules and Sequential Patterns

Bamshad Mobasher, Miki Nakagawa, B. Mobasher, 2003 .

Optimal Feature Selection for Context-Aware Recommendation using Differential Relaxation

Robin Burke, Bamshad Mobasher, Yong Zheng, 2012 .

Meta-Path Selection for Extended Multi-Relational Matrix Factorization

Bamshad Mobasher, Robin D. Burke, Fatemeh Vahedian, 2016, FLAIRS.

Ontological User Profiles for Representing Context in Web Search

Bamshad Mobasher, Robin D. Burke, Ahu Sieg, 2007, 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops.

Weighted Random Walks for Meta-Path Expansion in Heterogeneous Networks

Bamshad Mobasher, Robin D. Burke, Fatemeh Vahedian, 2016, RecSys Posters.

A framework for the analysis of attacks against social tagging systems

Robin Burke, Bamshad Mobasher, Maryam Ramezani, 2008, AAAI 2008.

Securing collaborative filtering against malicious attacks through anomaly detection

Robin Burke, Bamshad Mobasher, Runa Bhaumik, 2006, AAAI 2006.

User Modeling, Adaptation, and Personalization

Judith Masthoff, Michel C. Desmarais, Roger Nkambou, 2012, Lecture Notes in Computer Science.

Web Mining: Pattern Discovery from World Wide Web Transactions

Jaideep Srivastava, Navendu Jain, Eui-Hong Han, 1996 .

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

Jane Cleland-Huang, Bamshad Mobasher, Chuan Duan, 2009, SAC '09.