Negation as Partial Failure. - Bamshad Mobasher; Jacek Leszczylowski; Don Pigozzi (LPNMR, 1993)

Clustering Based On Association Rule Hypergraphs. - Eui-Hong Han; George Karypis; Vipin Kumar 001; Bamshad Mobasher (DMKD, 1997)

Web Mining: Information and Pattern Discovery on the World Wide Web. - Robert Cooley; Bamshad Mobasher; Jaideep Srivastava (ICTAI, 1997)

Magma: An Agent Based Virtual Market for Electronic Commerce. - Maksim Tsvetovatyy; Maria L. Gini; Bamshad Mobasher; Zbigniew Wieckowski (Appl. Artif. Intell., 1997)

Multi-Valued Logic Programming Semantics: An Algebraic Approach. - Bamshad Mobasher; Don Pigozzi; Giora Slutzki (Theor. Comput. Sci., 1997)

A Market Architecture for Multi-Agent Contracting. - John Collins; Ben Youngdahl; Scott Jamison; Bamshad Mobasher; Maria L. Gini (Agents, 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 001; Bamshad Mobasher; Jerome Moore (Agents, 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 (AMET, 1998)

Hypergraph Based Clustering in High-Dimensional Data Sets: A Summary of Results. - Eui-Hong Han; George Karypis; Vipin Kumar 001; Bamshad Mobasher (IEEE Data Eng. Bull., 1998)

A client-side Web agent for document categorization. - Daniel Boley; Maria L. Gini; Kyle Hastings; Bamshad Mobasher; Jerry Moore (Internet Res., 1998)

Evaluating Risk: Flexibility and Feasibility in Multi-Agent Contracting. - John Collins; Maksim Tsvetovat; Rashmi Sundareswara; Joshua van Tonder; Maria L. Gini; Bamshad Mobasher (Agents, 1999)

Bid Selection Strategies for Multi-agent Contracting in the Presence of Scheduling Constraints. - John Collins; Rashmi Sundareswara; Maria L. Gini; Bamshad Mobasher (Agent Mediated Electronic Commerce (IJCAI Workshop), 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 001; Bamshad Mobasher; Jerome Moore (Artif. Intell. Rev., 1999)

Partitioning-based clustering for Web document categorization. - Daniel Boley; Maria L. Gini; Robert Gross; Eui-Hong Han; Kyle Hastings; George Karypis; Vipin Kumar 001; Bamshad Mobasher; Jerome Moore (Decis. Support Syst., 1999)

Data Preparation for Mining World Wide Web Browsing Patterns. - Robert Cooley; Bamshad Mobasher; Jaideep Srivastava (Knowl. Inf. Syst., 1999)

Integrating Web Usage and Content Mining for More Effective Personalization. - Bamshad Mobasher; Honghua Dai 002; Tao Luo 008; Yuqing Sun; Jiang Zhu (EC-Web, 2000)

Automatic personalization based on Web usage mining. - Bamshad Mobasher; Robert Cooley; Jaideep Srivastava (Commun. ACM, 2000)

Effective personalization based on association rule discovery from web usage data. - Bamshad Mobasher; Honghua Dai 002; Tao Luo 008; Miki Nakagawa (WIDM, 2001)

Decision Processes in Agent-Based Automated Contracting. - John Collins; Corey Bilot; Maria L. Gini; Bamshad Mobasher (IEEE Internet Comput., 2001)

Using Sequential and Non-Sequential Patterns in Predictive Web Usage Mining Tasks. - Bamshad Mobasher; Honghua Dai 002; Tao Luo 008; Miki Nakagawa (ICDM, 2002)

The Impact of Site Structure and User Environment on Session Reconstruction in Web Usage Analysis. - Bettina Berendt; Bamshad Mobasher; Miki Nakagawa; Myra Spiliopoulou (WebKDD, 2002)

Discovery and Evaluation of Aggregate Usage Profiles for Web Personalization. - Bamshad Mobasher; Honghua Dai 002; Tao Luo 008; Miki Nakagawa (Data Min. Knowl. Discov., 2002)

Semantically Enhanced Collaborative Filtering on the Web. - Bamshad Mobasher; Xin Jin; Yanzan Zhou (EWMF, 2003)

A Road Map to More Effective Web Personalization: Integrating Domain Knowledge with Web Usage Mining. - Honghua (Kathy) Dai; Bamshad Mobasher (International Conference on Internet Computing, 2003)

Concept Based Query Enhancement in the ARCH Search Agent. - Ahu Sieg; Bamshad Mobasher; Steven L. Lytinen; Robin D. Burke (International Conference on Internet Computing, 2003)

Intelligent Techniques for Web Personalization. - Sarabjot S. Anand; Bamshad Mobasher (ITWP, 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)

Web usage mining based on probabilistic latent semantic analysis. - Xin Jin; Yanzan Zhou; Bamshad Mobasher (KDD, 2004)

A Recommendation Model Based on Latent Principal Factors in Web Navigation Data. - Yanzan Zhou; Xin Jin; Bamshad Mobasher (WebDyn@WWW, 2004)

WebKDD 2004: web mining and web usage analysis post-workshop report. - Olfa Nasraoui; Bamshad Mobasher; Brij M. Masand; Bing Liu 001 (SIGKDD Explor., 2004)

Web Usage Mining and Personalization. - Bamshad Mobasher (The Practical Handbook of Internet Computing, 2004)

Segment-Based Injection Attacks against Collaborative Filtering Recommender Systems. - Robin D. Burke; Bamshad Mobasher; Runa Bhaumik; Chad Williams (ICDM, 2005)

A Web Recommendation System Based on Maximum Entropy. - Xin Jin; Bamshad Mobasher; Yanzan Zhou (ITCC (1), 2005)

A maximum entropy web recommendation system: combining collaborative and content features. - Xin Jin; Yanzan Zhou; Bamshad Mobasher (KDD, 2005)

Analysis and Detection of Segment-Focused Attacks Against Collaborative Recommendation. - Bamshad Mobasher; Robin D. Burke; Chad Williams; Runa Bhaumik (WebKDD, 2005)

Task-Oriented Web User Modeling for Recommendation. - Xin Jin; Yanzan Zhou; Bamshad Mobasher (User Modeling, 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; et al. (AI Mag., 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)

Model-Based Collaborative Filtering as a Defense against Profile Injection Attacks. - Bamshad Mobasher; Robin D. Burke; Jeff J. Sandvig (AAAI, 2006)

Web User Segmentation Based on a Mixture of Factor Analyzers. - Yanzan Zhou; Bamshad Mobasher (EC-Web, 2006)

Classification features for attack detection in collaborative recommender systems. - Robin D. Burke; Bamshad Mobasher; Chad Williams; Runa Bhaumik (KDD, 2006)

Detecting Profile Injection Attacks in Collaborative Filtering: A Classification-Based Approach. - Chad Williams; Bamshad Mobasher; Robin D. Burke; Runa Bhaumik (WebKDD, 2006)

Contextual Recommendation. - Sarabjot S. Anand; Bamshad Mobasher (WebMine, 2006)

Detecting Profile Injection Attacks in Collaborative Recommender Systems. - Robin D. Burke; Bamshad Mobasher; Chad Williams; Runa Bhaumik (CEC/EEE, 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; et al. (AI Mag., 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)

Data Mining for Web Personalization. - Bamshad Mobasher (The Adaptive Web, 2007)

Web search personalization with ontological user profiles. - Ahu Sieg; Bamshad Mobasher; Robin D. Burke (CIKM, 2007)

Representing Context in Web Search with Ontological User Profiles. - Ahu Sieg; Bamshad Mobasher; Robin D. Burke (CONTEXT, 2007)

Crawling Attacks Against Web-based Recommender Systems. - Runa Bhaumik; Robin D. Burke; Bamshad Mobasher (DMIN, 2007)

Impact of Relevance Measures on the Robustness and Accuracy of Collaborative Filtering. - Jeff J. Sandvig; Bamshad Mobasher; Robin D. Burke (EC-Web, 2007)

Ontological User Profiles for Representing Context in Web Search. - Ahu Sieg; Bamshad Mobasher; Robin D. Burke (Web Intelligence/IAT Workshops, 2007)

Robustness of collaborative recommendation based on association rule mining. - Jeff J. Sandvig; Bamshad Mobasher; Robin D. Burke (RecSys, 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; et al. (AI Mag., 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)

Attacks and Remedies in Collaborative Recommendation. - Bamshad Mobasher; Robin D. Burke; Runa Bhaumik; Jeff J. Sandvig (IEEE Intell. Syst., 2007)

Recommender Systems. - Bamshad Mobasher (Künstliche Intell., 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)

Defending recommender systems: detection of profile injection attacks. - Chad Williams; Bamshad Mobasher; Robin D. Burke (Serv. Oriented Comput. Appl., 2007)

Introduction to intelligent techniques for Web personalization. - Sarabjot S. Anand; Bamshad Mobasher (ACM Trans. Internet Techn., 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)

A consensus based approach to constrained clustering of software requirements. - Chuan Duan; Jane Cleland-Huang; Bamshad Mobasher (CIKM, 2008)

Personalizing Navigation in Folksonomies Using Hierarchical Tag Clustering. - Jonathan Gemmell; Andriy Shepitsen; Bamshad Mobasher; Robin D. Burke (DaWaK, 2008)

Using data mining and recommender systems to scale up the requirements process. - Jane Cleland-Huang; Bamshad Mobasher (ULSSIS@ICSE, 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 (IUI, 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 (RE, 2008)

Personalized recommendation in social tagging systems using hierarchical clustering. - Andriy Shepitsen; Jonathan Gemmell; Bamshad Mobasher; Robin D. Burke (RecSys, 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)

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)

Evaluating the Impact of Attacks in Collaborative Tagging Environments. - Maryam Ramezani 001; Jeff J. Sandvig; Thomas Schimoler; Jonathan Gemmell; Bamshad Mobasher; Robin D. Burke (CSE (4), 2009)

Adapting K-Nearest Neighbor for Tag Recommendation in Folksonomies. - Jonathan Gemmell; Thomas Schimoler; Maryam Ramezani 001; Bamshad Mobasher (ITWP, 2009)

A Fast Effective Multi-Channeled Tag Recommender. - Jonathan Gemmell; Maryam Ramezani 001; Thomas Schimoler; Laura Christiansen; Bamshad Mobasher (DC@PKDD/ECML, 2009)

Enhancing Stakeholder Profiles to Improve Recommendations in Online Requirements Elicitation. - Carlos Castro-Herrera; Jane Cleland-Huang; Bamshad Mobasher (RE, 2009)

A recommender system for dynamically evolving online forums. - Carlos Castro-Herrera; Jane Cleland-Huang; Bamshad Mobasher (RecSys, 2009)

The impact of ambiguity and redundancy on tag recommendation in folksonomies. - Jonathan Gemmell; Maryam Ramezani 001; Thomas Schimoler; Laura Christiansen; Bamshad Mobasher (RecSys, 2009)

Workshop on recommender systems and the social web. - Dietmar Jannach; Werner Geyer; Casey Dugan; Jill Freyne; Sarabjot S. Anand; Bamshad Mobasher; Alfred Kobsa (RecSys, 2009)

A recommender system for requirements elicitation in large-scale software projects. - Carlos Castro-Herrera; Chuan Duan; Jane Cleland-Huang; Bamshad Mobasher (SAC, 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; et al. (AI Mag., 2009)

Preface to the special issue on data mining for personalization. - Bamshad Mobasher; Alexander Tuzhilin (User Model. User Adapt. Interact., 2009)

Web Mining Overview. - Bamshad Mobasher (Encyclopedia of Data Warehousing and Mining, 2009)

Hybrid tag recommendation for social annotation systems. - Jonathan Gemmell; Thomas Schimoler; Bamshad Mobasher; Robin D. Burke (CIKM, 2010)

Resource Recommendation in Collaborative Tagging Applications. - Jonathan Gemmell; Thomas Schimoler; Bamshad Mobasher; Robin D. Burke (EC-Web, 2010)

2nd workshop on recommender systems and the social web. - Werner Geyer; Jill Freyne; Bamshad Mobasher; Sarabjot S. Anand; Casey Dugan (RecSys, 2010)

Improving the effectiveness of collaborative recommendation with ontology-based user profiles. - Ahu Sieg; Bamshad Mobasher; Robin Burke (HetRec@RecSys, 2010)

Ontology-Based Collaborative Recommendation. - Ahu Sieg; Bamshad Mobasher; Robin Burke (ITWP@UMAP, 2010)

Recommendation by Example in Social Annotation Systems. - Jonathan Gemmell; Thomas Schimoler; Bamshad Mobasher; Robin D. Burke (EC-Web, 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 (ICSE, 2011)

Context-Aware Recommendation Based On Review Mining. - Negar Hariri; Bamshad Mobasher; Robin Burke; Yong Zheng 001 (ITWP@IJCAI, 2011)

Tag-Based Resource Recommendation in Social Annotation Applications. - Jonathan Gemmell; Thomas Schimoler; Bamshad Mobasher; Robin D. Burke (UMAP, 2011)

Context-Aware Recommender Systems. - Gediminas Adomavicius; Bamshad Mobasher; Francesco Ricci 001; Alexander Tuzhilin (AI Mag., 2011)

Recommender Systems in Requirements Engineering. - Bamshad Mobasher; Jane Cleland-Huang (AI Mag., 2011)

Differential Context Relaxation for Context-Aware Travel Recommendation. - Yong Zheng 001; Robin D. Burke; Bamshad Mobasher (EC-Web, 2012)

Recommending source code for use in rapid software prototypes. - Collin McMillan; Negar Hariri; Denys Poshyvanyk; Jane Cleland-Huang; Bamshad Mobasher (ICSE, 2012)

Context-aware music recommendation based on latenttopic sequential patterns. - Negar Hariri; Bamshad Mobasher; Robin D. Burke (RecSys, 2012)

4th ACM RecSys workshop on recommender systems and the social web. - Bamshad Mobasher; Dietmar Jannach; Werner Geyer; Andreas Hotho (RecSys, 2012)

Modeling topic trends on the social web using temporal signatures. - Laura Christiansen; Thomas Schimoler; Robin D. Burke; Bamshad Mobasher (WIDM, 2012)

Using social tags to infer context in hybrid music recommendation. - Negar Hariri; Bamshad Mobasher; Robin D. Burke (WIDM, 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)

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)

Query-driven context aware recommendation. - Negar Hariri; Bamshad Mobasher; Robin D. Burke (RecSys, 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 (RecSys, 2013)

The Role of Emotions in Context-aware Recommendation. - Yong Zheng 001; Bamshad Mobasher; Robin D. Burke (Decisions@RecSys, 2013)

Recommendation with Differential Context Weighting. - Yong Zheng 001; Robin D. Burke; Bamshad Mobasher (UMAP, 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 Systems in Requirements Discovery. - Negar Hariri; Carlos Castro-Herrera; Jane Cleland-Huang; Bamshad Mobasher (Recommendation Systems in Software Engineering, 2014)

Deviation-Based Contextual SLIM Recommenders. - Yong Zheng 001; Bamshad Mobasher; Robin D. Burke (CIKM, 2014)

Resource Recommendation in Social Annotation Systems Based on User Partitioning. - Jonathan Gemmell; Bamshad Mobasher; Robin D. Burke (EC-Web, 2014)

The recommender problem revisited: morning tutorial. - Xavier Amatriain; Bamshad Mobasher (KDD, 2014)

Context adaptation in interactive recommender systems. - Negar Hariri; Bamshad Mobasher; Robin D. Burke (RecSys, 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 (RecSys, 2014)

CSLIM: contextual SLIM recommendation algorithms. - Yong Zheng 001; Bamshad Mobasher; Robin D. Burke (RecSys, 2014)

Splitting approaches for context-aware recommendation: an empirical study. - Yong Zheng 001; Robin D. Burke; Bamshad Mobasher (SAC, 2014)

Hybrid Recommendation in Heterogeneous Networks. - Robin D. Burke; Fatemeh Vahedian; Bamshad Mobasher (UMAP, 2014)

User Partitioning Hybrid for Tag Recommendation. - Jonathan Gemmell; Bamshad Mobasher; Robin D. Burke (UMAP, 2014)

Context Recommendation Using Multi-label Classification. - Yong Zheng 001; Bamshad Mobasher; Robin D. Burke (WI-IAT (1), 2014)

CARSKit: A Java-Based Context-Aware Recommendation Engine. - Yong Zheng 001; Bamshad Mobasher; Robin D. Burke (ICDM Workshops, 2015)

Adapting to User Preference Changes in Interactive Recommendation. - Negar Hariri; Bamshad Mobasher; Robin Burke (IJCAI, 2015)

Incorporating Context Correlation into Context-aware Matrix Factorization. - Yong Zheng 001; Bamshad Mobasher; Robin D. Burke (CPCR+ITWP@IJCAI, 2015)

Adapting Recommendations to Contextual Changes Using Hierarchical Hidden Markov Models. - Mehdi Hosseinzadeh Aghdam; Negar Hariri; Bamshad Mobasher; Robin D. Burke (RecSys, 2015)

Network-Based Extension of Multi-Relational Factorization Models. - Fatemeh Vahedian; Robin D. Burke; Bamshad Mobasher (RecSys Posters, 2015)

User-Constrained Clustering in Online Requirements Forums. - Chuan Duan; Horatiu Dumitru; Jane Cleland-Huang; Bamshad Mobasher (REFSQ, 2015)

Integrating Context Similarity with Sparse Linear Recommendation Model. - Yong Zheng 001; Bamshad Mobasher; Robin D. Burke (UMAP, 2015)

Similarity-Based Context-Aware Recommendation. - Yong Zheng 001; Bamshad Mobasher; Robin D. Burke (WISE (1), 2015)

Meta-Path Selection for Extended Multi-Relational Matrix Factorization. - Fatemeh Vahedian; Robin D. Burke; Bamshad Mobasher (FLAIRS, 2016)

User Segmentation for Controlling Recommendation Diversity. - Farzad Eskandanian; Bamshad Mobasher; Robin D. Burke (RecSys Posters, 2016)

Weighted Random Walks for Meta-Path Expansion in Heterogeneous Networks. - Fatemeh Vahedian; Robin D. Burke; Bamshad Mobasher (RecSys Posters, 2016)

Towards Multi-Stakeholder Utility Evaluation of Recommender Systems. - Robin D. Burke; Himan Abdollahpouri; Bamshad Mobasher; Trinadh Gupta (UMAP (Extended Proceedings), 2016)

User-Oriented Context Suggestion. - Yong Zheng 001; Bamshad Mobasher; Robin Burke (UMAP, 2016)

Using Uncertain Graphs to Automatically Generate Event Flows from News Stories. - Laura Christiansen; Bamshad Mobasher; Robin Burke (HT (Extended Proceedings), 2017)

Controlling Popularity Bias in Learning-to-Rank Recommendation. - Himan Abdollahpouri; Robin Burke; Bamshad Mobasher (RecSys, 2017)

Workshop on Recommendation in Complex Scenarios: (ComplexRec 2017). - Toine Bogers; Marijn Koolen; Bamshad Mobasher; Alan Said; Alexander Tuzhilin (RecSys, 2017)

Recommender Systems as Multistakeholder Environments. - Himan Abdollahpouri; Robin Burke; Bamshad Mobasher (UMAP, 2017)

A Clustering Approach for Personalizing Diversity in Collaborative Recommender Systems. - Farzad Eskandanian; Bamshad Mobasher; Robin Burke (UMAP, 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 (UMAP (Adjunct Publication), 2017)

Weighted Random Walk Sampling for Multi-Relational Recommendation. - Fatemeh Vahedian; Robin D. Burke; Bamshad Mobasher (UMAP, 2017)

Multirelational Recommendation in Heterogeneous Networks. - Fatemeh Vahedian; Robin Burke; Bamshad Mobasher (ACM Trans. Web, 2017)

Emotions in Context-Aware Recommender Systems. - Yong Zheng 001; Bamshad Mobasher; Robin Burke (Emotions and Personality in Personalized Services, 2017)

Context-Aware Recommendations. - Yong Zheng 001; Bamshad Mobasher (Collaborative Recommendations, 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 (HAIS, 2018)

2nd workshop on recommendation in complex scenarios (complexrec 2018). - Toine Bogers; Marijn Koolen; Bamshad Mobasher; Alan Said; Casper Petersen (RecSys, 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 (UMAP (Adjunct Publication), 2018)

Value-Aware Item Weighting for Long-Tail Recommendation. - Himan Abdollahpouri; Robin Burke; Bamshad Mobasher (CoRR, 2018)

Detecting Changes in User Preferences using Hidden Markov Models for Sequential Recommendation Tasks. - Farzad Eskandanian; Bamshad Mobasher (CoRR, 2018)

Managing Popularity Bias in Recommender Systems with Personalized Re-Ranking. - Himan Abdollahpouri; Robin Burke; Bamshad Mobasher (FLAIRS, 2019)

Modeling the Dynamics of User Preferences for Sequence-Aware Recommendation Using Hidden Markov Models. - Farzad Eskandanian; Bamshad Mobasher (FLAIRS, 2019)

The Unfairness of Popularity Bias in Recommendation. - Himan Abdollahpouri; Masoud Mansoury; Robin Burke; Bamshad Mobasher (RMSE@RecSys, 2019)

Workshop on context-aware recommender systems. - Gediminas Adomavicius; Konstantin Bauman; Bamshad Mobasher; Francesco Ricci 001; Alexander Tuzhilin; Moshe Unger (RecSys, 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 (IntRS@RecSys, 2019)

Third workshop on recommendation in complex scenarios (ComplexRec 2019). - Marijn Koolen; Toine Bogers; Bamshad Mobasher; Alexander Tuzhilin (RecSys, 2019)

Overview of the Workshop on Recommendation in Complex Scenarios 2019 (ComplexRec 2019). - Marijn Koolen; Toine Bogers; Bamshad Mobasher; Alexander Tuzhilin (ComplexRec@RecSys, 2019)

Crank up the Volume: Preference Bias Amplification in Collaborative Recommendation. - Kun Lin; Nasim Sonboli; Bamshad Mobasher; Robin Burke (RMSE@RecSys, 2019)

Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison. - Masoud Mansoury; Bamshad Mobasher; Robin Burke; Mykola Pechenizkiy (RMSE@RecSys, 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 (UMAP (Adjunct Publication), 2019)

Power of the Few: Analyzing the Impact of Influential Users in Collaborative Recommender Systems. - Farzad Eskandanian; Nasim Sonboli; Bamshad Mobasher (UMAP, 2019)

UMAP 2019 Theory, Reflection, and Opinion Track: Chairs' Welcome and Overview. - Geert-Jan Houben; Bamshad Mobasher (UMAP (Adjunct Publication), 2019)

The Impact of Popularity Bias on Fairness and Calibration in Recommendation. - Himan Abdollahpouri; Masoud Mansoury; Robin Burke; Bamshad Mobasher (CoRR, 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)

Children with Autism and Technology Use: A Case Study of the Diary Method. - Cynthia Putnam; Bamshad Mobasher (CHI Extended Abstracts, 2020)

Feedback Loop and Bias Amplification in Recommender Systems. - Masoud Mansoury; Himan Abdollahpouri; Mykola Pechenizkiy; Bamshad Mobasher; Robin Burke (CIKM, 2020)

Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems. - Masoud Mansoury; Himan Abdollahpouri; Jessie Smith; Arman Dehpanah; Mykola Pechenizkiy; Bamshad Mobasher (FLAIRS, 2020)

Calibration in Collaborative Filtering Recommender Systems: a User-Centered Analysis. - Kun Lin; Nasim Sonboli; Bamshad Mobasher; Robin Burke (HT, 2020)

The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation. - Himan Abdollahpouri; Masoud Mansoury; Robin Burke; Bamshad Mobasher (RecSys, 2020)

ComplexRec 2020: Workshop on Recommendation in Complex Environments. - Toine Bogers; Marijn Koolen; Casper Petersen; Bamshad Mobasher; Alexander Tuzhilin (RecSys, 2020)

Using Stable Matching to Optimize the Balance between Accuracy and Diversity in Recommendation. - Farzad Eskandanian; Bamshad Mobasher (UMAP, 2020)

FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems. - Masoud Mansoury; Himan Abdollahpouri; Mykola Pechenizkiy; Bamshad Mobasher; Robin Burke (UMAP, 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 (UMAP (Adjunct Publication), 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 (UMAP, 2020)

Opportunistic Multi-aspect Fairness through Personalized Re-ranking. - Nasim Sonboli; Farzad Eskandanian; Robin Burke; Weiwen Liu; Bamshad Mobasher (UMAP, 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 (WI/IAT, 2020)

Addressing the Multistakeholder Impact of Popularity Bias in Recommendation Through Calibration. - Himan Abdollahpouri; Masoud Mansoury; Robin Burke; Bamshad Mobasher (CoRR, 2020)

The Evaluation of Rating Systems in Online Free-for-All Games. - Arman Dehpanah; Muheeb Faizan Ghori; Jonathan Gemmell; Bamshad Mobasher (CoRR, 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)

Research directions in session-based and sequential recommendation. - Dietmar Jannach; Bamshad Mobasher; Shlomo Berkovsky (User Model. User Adapt. Interact., 2020)

Evaluating Team Skill Aggregation in Online Competitive Games. - Arman Dehpanah; Muheeb Faizan Ghori; Jonathan Gemmell; Bamshad Mobasher (CoG, 2021)

Player Modeling using Behavioral Signals in Competitive Online Games. - Arman Dehpanah; Muheeb Faizan Ghori; Jonathan Gemmell; Bamshad Mobasher (CSCI, 2021)

ComplexRec 2021: Fifth Workshop on Recommendation in Complex Environments. - Himan Abdollahpouri; Toine Bogers; Bamshad Mobasher; Casper Petersen; Maria Soledad Pera (RecSys, 2021)

Workshop on Context-Aware Recommender Systems (CARS) 2021. - Gediminas Adomavicius; Konstantin Bauman; Bamshad Mobasher; Francesco Ricci 001; Alexander Tuzhilin; Moshe Unger (RecSys, 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 (IntRS@RecSys, 2021)

User-centered Evaluation of Popularity Bias in Recommender Systems. - Himan Abdollahpouri; Masoud Mansoury; Robin Burke; Bamshad Mobasher; Edward C. Malthouse (UMAP, 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 (UMAP (Adjunct Publication), 2021)

Toward the Next Generation of News Recommender Systems. - Himan Abdollahpouri; Edward C. Malthouse; Joseph A. Konstan; Bamshad Mobasher; Jeremy Gilbert (WWW (Companion Volume), 2021)

The Evaluation of Rating Systems in Team-based Battle Royale Games. - Arman Dehpanah; Muheeb Faizan Ghori; Jonathan Gemmell; Bamshad Mobasher (CoRR, 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)

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)

Flatter Is Better: Percentile Transformations for Recommender Systems. - Masoud Mansoury; Robin Burke; Bamshad Mobasher (ACM Trans. Intell. Syst. Technol., 2021)

Data Science and Artificial Intelligence for Responsible Recommendations. - Shoujin Wang; Ninghao Liu; Xiuzhen Zhang 001; Yan Wang 002; Francesco Ricci 001; Bamshad Mobasher (KDD, 2022)

CARS: Workshop on Context-Aware Recommender Systems 2022. - Gediminas Adomavicius; Konstantin Bauman; Bamshad Mobasher; Francesco Ricci 001; Alexander Tuzhilin; Moshe Unger (RecSys, 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 (UMAP (Adjunct Publication), 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 (UMAP (Adjunct Publication), 2022)

Using Recommender Systems to Help Revitalize Local News. - Payam Pourashraf; Bamshad Mobasher (UMAP (Adjunct Publication), 2022)

Using user's local context to support local news. - Payam Pourashraf; Bamshad Mobasher (UMAP (Adjunct Publication), 2022)

Behavioral Player Rating in Competitive Online Shooter Games. - Arman Dehpanah; Muheeb Faizan Ghori; Jonathan Gemmell; Bamshad Mobasher (CoRR, 2022)

Exposure-Aware Recommendation using Contextual Bandits. - Masoud Mansoury; Bamshad Mobasher; Herke van Hoof (CoRR, 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)

Modeling Users' Localized Preferences for More Effective News Recommendation. - Payam Pourashraf; Bamshad Mobasher (HCI (41), 2023)

Workshop on Context-Aware Recommender Systems 2023. - Gediminas Adomavicius; Konstantin Bauman; Bamshad Mobasher; Alexander Tuzhilin; Moshe Unger (RecSys, 2023)

6th Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2023). - Bamshad Mobasher; Styliani Kleanthous; Jahna Otterbacher; Robin Burke; Avital Shulner-Tal (UMAP (Adjunct Publication), 2023)

Fairness of Exposure in Dynamic Recommendation. - Masoud Mansoury; Bamshad Mobasher (CoRR, 2023)

Mitigating Exposure Bias in Online Learning to Rank Recommendation: A Novel Reward Model for Cascading Bandits. - Masoud Mansoury; Bamshad Mobasher; Herke van Hoof (CIKM, 2024)

Workshop on Context-Aware Recommender Systems (CARS) 2024. - Gediminas Adomavicius; Konstantin Bauman; Bamshad Mobasher; Alexander Tuzhilin; Moshe Unger (RecSys, 2024)

Beyond Static Calibration: The Impact of User Preference Dynamics on Calibrated Recommendation. - Kun Lin; Masoud Mansoury; Farzad Eskandanian; Milad Sabouri; Bamshad Mobasher (UMAP (Adjunct Publication), 2024)

Workshop on Context-Aware Recommender Systems. - Gediminas Adomavicius; Konstantin Bauman; Bamshad Mobasher; Alexander Tuzhilin; Moshe Unger (RecSys, 2025)

"They Only Offer the Illusion of Choice": Exploring User Perceptions of Control and Agency on YouTube. - Muheeb Faizan Ghori; Arman Dehpanah; Jonathan Gemmell; Bamshad Mobasher (UMAP (Adjunct Publication), 2025)

7th UMAP Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2025). - Bamshad Mobasher; Styliani Kleanthous; Robin Burke; Avital Shulner-Tal; Tsvi Kuflik (UMAP (Adjunct Publication), 2025)

Towards Explainable Temporal User Profiling with LLMs. - Milad Sabouri; Masoud Mansoury; Kun Lin; Bamshad Mobasher (UMAP (Adjunct Publication), 2025)

Temporal User Profiling with LLMs: Balancing Short-Term and Long-Term Preferences for Recommendations. - Milad Sabouri; Masoud Mansoury; Kun Lin; Bamshad Mobasher (CoRR, 2025)

Using LLMs to Capture Users' Temporal Context for Recommendation. - Milad Sabouri; Masoud Mansoury; Kun Lin; Bamshad Mobasher (CoRR, 2025)

A Hybrid Recommendation Framework for Enhancing User Engagement in Local News. - Payam Pourashraf; Bamshad Mobasher (CoRR, 2025)

Effectiveness of LLMs in Temporal User Profiling for Recommendation. - Milad Sabouri; Masoud Mansoury; Kun Lin; Bamshad Mobasher (CoRR, 2025)