Robin D. Burke

88 papers A* 5A 21B 1C 2Misc 2Journal 16Unranked 39

Year	Rank	Type	Title / Venue / Authors
2020	—	`conf`	Experimentation with fairness-aware recommendation using librec-auto: hands-on tutorial. FAT* Robin D. Burke, Masoud Mansoury, Nasim Sonboli
2017	A	`conf`	Weighted Random Walk Sampling for Multi-Relational Recommendation. UMAP Fatemeh Vahedian, Robin D. Burke, Bamshad Mobasher
2017	J	`jnl`	Weighted Random Walk Sampling for Multi-Relational Recommendation. CoRR Fatemeh Vahedian, Robin D. Burke, Bamshad Mobasher
2016	—	`conf`	Collaborative Recommendation of Informal Learning Experiences. WI Workshops Robin D. Burke, Farzad Eskandanian
2016	—	`conf`	Educational Recommendation with Multiple Stakeholders. WI Workshops Robin D. Burke, Himan Abdollahpouri
2016	Misc	`conf`	Meta-Path Selection for Extended Multi-Relational Matrix Factorization. FLAIRS Fatemeh Vahedian, Robin D. Burke, Bamshad Mobasher
2016	—	`conf`	Towards Multi-Stakeholder Utility Evaluation of Recommender Systems. UMAP (Extended Proceedings) Robin D. Burke, Himan Abdollahpouri, Bamshad Mobasher, Trinadh Gupta
2016	—	`conf`	User Segmentation for Controlling Recommendation Diversity. RecSys Posters Farzad Eskandanian, Bamshad Mobasher, Robin D. Burke
2016	—	`conf`	Weighted Random Walks for Meta-Path Expansion in Heterogeneous Networks. RecSys Posters Fatemeh Vahedian, Robin D. Burke, Bamshad Mobasher
2015	A	`conf`	Adapting Recommendations to Contextual Changes Using Hierarchical Hidden Markov Models. RecSys Mehdi Hosseinzadeh Aghdam, Negar Hariri, Bamshad Mobasher, Robin D. Burke
2015	—	`conf`	CARSKit: A Java-Based Context-Aware Recommendation Engine. ICDM Workshops Yong Zheng, Bamshad Mobasher, Robin D. Burke
2015	—	`conf`	Incorporating Context Correlation into Context-aware Matrix Factorization. CPCR+ITWP@IJCAI Yong Zheng, Bamshad Mobasher, Robin D. Burke
2015	A	`conf`	Integrating Context Similarity with Sparse Linear Recommendation Model. UMAP Yong Zheng, Bamshad Mobasher, Robin D. Burke
2015	—	`conf`	Network-Based Extension of Multi-Relational Factorization Models. RecSys Posters Fatemeh Vahedian, Robin D. Burke, Bamshad Mobasher
2015	—	`conf`	Similarity-Based Context-Aware Recommendation. WISE (1) Yong Zheng, Bamshad Mobasher, Robin D. Burke
2014	A	`conf`	CSLIM: contextual SLIM recommendation algorithms. RecSys Yong Zheng, Bamshad Mobasher, Robin D. Burke
2014	—	`conf`	Context Recommendation Using Multi-label Classification. WI-IAT (1) Yong Zheng, Bamshad Mobasher, Robin D. Burke
2014	A	`conf`	Context adaptation in interactive recommender systems. RecSys Negar Hariri, Bamshad Mobasher, Robin D. Burke
2014	A	`conf`	Deviation-Based Contextual SLIM Recommenders. CIKM Yong Zheng, Bamshad Mobasher, Robin D. Burke
2014	A	`conf`	Hybrid Recommendation in Heterogeneous Networks. UMAP Robin D. Burke, Fatemeh Vahedian, Bamshad Mobasher
2014	—	`conf`	Predicting Component Utilities for Linear-Weighted Hybrid Recommendation. RSWeb@RecSys Fatemeh Vahedian, Robin D. Burke
2014	—	`conf`	Resource Recommendation in Social Annotation Systems Based on User Partitioning. EC-Web Jonathan Gemmell, Bamshad Mobasher, Robin D. Burke
2014	Misc	`conf`	Splitting approaches for context-aware recommendation: an empirical study. SAC Yong Zheng, Robin D. Burke, Bamshad Mobasher
2014	A	`conf`	User Partitioning Hybrid for Tag Recommendation. UMAP Jonathan Gemmell, Bamshad Mobasher, Robin D. Burke
2013	A	`conf`	Query-driven context aware recommendation. RecSys Negar Hariri, Bamshad Mobasher, Robin D. Burke
2013	A	`conf`	Recommendation with Differential Context Weighting. UMAP Yong Zheng, Robin D. Burke, Bamshad Mobasher
2013	—	`conf`	Social Web Recommendation using Metapaths. RSWeb@RecSys Robin D. Burke, Fatemeh Vahedian
2013	—	`conf`	The Role of Emotions in Context-aware Recommendation. Decisions@RecSys Yong Zheng, Bamshad Mobasher, Robin D. Burke
2012	A	`conf`	Context-aware music recommendation based on latenttopic sequential patterns. RecSys Negar Hariri, Bamshad Mobasher, Robin D. Burke
2012	—	`conf`	Differential Context Relaxation for Context-Aware Travel Recommendation. EC-Web Yong Zheng, Robin D. Burke, Bamshad Mobasher
2012	—	`conf`	Modeling topic trends on the social web using temporal signatures. WIDM Laura Christiansen, Thomas Schimoler, Robin D. Burke, Bamshad Mobasher
2012	J	`jnl`	Preface to the special issue on user interfaces for recommender systems. User Model. User Adapt. Interact. Alexander Felfernig, Robin D. Burke, Pearl Pu
2012	J	`jnl`	Resource recommendation in social annotation systems: A linear-weighted hybrid approach. J. Comput. Syst. Sci. Jonathan Gemmell, Thomas Schimoler, Bamshad Mobasher, Robin D. Burke
2012	—	`conf`	Using social tags to infer context in hybrid music recommendation. WIDM Negar Hariri, Bamshad Mobasher, Robin D. Burke
2011	A	`conf`	Interactive multi-party critiquing for group recommendation. RecSys Francesca Guzzi, Francesco Ricci, Robin D. Burke
2011	—	`ch.`	Matching Recommendation Technologies and Domains. Recommender Systems Handbook Robin D. Burke, Maryam Ramezani
2011	A	`ed.`	Proceedings of the 2011 ACM Conference on Recommender Systems, RecSys 2011, Chicago, IL, USA, October 23-27, 2011 RecSys Bamshad Mobasher, Robin D. Burke, Dietmar Jannach, Gediminas Adomavicius
2011	—	`conf`	Recommendation by Example in Social Annotation Systems. EC-Web Jonathan Gemmell, Thomas Schimoler, Bamshad Mobasher, Robin D. Burke
2011	J	`jnl`	Recommendation in the Social Web. AI Mag. Robin D. Burke, Jonathan Gemmell, Andreas Hotho, Robert Jäschke
2011	J	`jnl`	Recommender Systems: An Overview. AI Mag. Robin D. Burke, Alexander Felfernig, Mehmet H. Göker
2011	—	`ch.`	Robust Collaborative Recommendation. Recommender Systems Handbook Robin D. Burke, Michael P. O'Mahony, Neil J. Hurley
2011	A	`conf`	Tag-Based Resource Recommendation in Social Annotation Applications. UMAP Jonathan Gemmell, Thomas Schimoler, Bamshad Mobasher, Robin D. Burke
2010	A	`conf`	Evaluating the dynamic properties of recommendation algorithms. RecSys Robin D. Burke
2010	A	`conf`	Hybrid tag recommendation for social annotation systems. CIKM Jonathan Gemmell, Thomas Schimoler, Bamshad Mobasher, Robin D. Burke
2010	—	`conf`	Resource Recommendation in Collaborative Tagging Applications. EC-Web Jonathan Gemmell, Thomas Schimoler, Bamshad Mobasher, Robin D. Burke
2009	—	`conf`	Evaluating the Impact of Attacks in Collaborative Tagging Environments. CSE (4) Maryam Ramezani, Jeff J. Sandvig, Thomas Schimoler, Jonathan Gemmell, Bamshad Mobasher, Robin D. Burke
2009	A	`ed.`	Proceedings of the 2009 ACM Conference on Recommender Systems, RecSys 2009, New York, NY, USA, October 23-25, 2009 RecSys Lawrence D. Bergman, Alexander Tuzhilin, Robin D. Burke, Alexander Felfernig, Lars Schmidt-Thieme
2008	J	`jnl`	A Survey of Collaborative Recommendation and the Robustness of Model-Based Algorithms. IEEE Data Eng. Bull. Jeff J. Sandvig, Bamshad Mobasher, Robin D. Burke
2008	C	`conf`	Constraint-based recommender systems: technologies and research issues. ICEC Alexander Felfernig, Robin D. Burke
2008	A	`conf`	Personalized recommendation in social tagging systems using hierarchical clustering. RecSys Andriy Shepitsen, Jonathan Gemmell, Bamshad Mobasher, Robin D. Burke
2008	B	`conf`	Personalizing Navigation in Folksonomies Using Hierarchical Tag Clustering. DaWaK Jonathan Gemmell, Andriy Shepitsen, Bamshad Mobasher, Robin D. Burke
2008	A	`conf`	Robust recommender systems. RecSys Robin D. Burke
2007	J	`jnl`	Attacks and Remedies in Collaborative Recommendation. IEEE Intell. Syst. Bamshad Mobasher, Robin D. Burke, Runa Bhaumik, Jeff J. Sandvig
2007	—	`conf`	Crawling Attacks Against Web-based Recommender Systems. DMIN Runa Bhaumik, Robin D. Burke, Bamshad Mobasher
2007	J	`jnl`	Defending recommender systems: detection of profile injection attacks. Serv. Oriented Comput. Appl. Chad Williams, Bamshad Mobasher, Robin D. Burke
2007	—	`conf`	Hybrid Web Recommender Systems. The Adaptive Web Robin D. Burke
2007	—	`conf`	Impact of Relevance Measures on the Robustness and Accuracy of Collaborative Filtering. EC-Web Jeff J. Sandvig, Bamshad Mobasher, Robin D. Burke
2007	J	`jnl`	Learning Ontology-Based User Profiles: A Semantic Approach to Personalized Web Search. IEEE Intell. Informatics Bull. Ahu Sieg, Bamshad Mobasher, Robin D. Burke
2007	—	`conf`	Ontological User Profiles for Representing Context in Web Search. Web Intelligence/IAT Workshops Ahu Sieg, Bamshad Mobasher, Robin D. Burke
2007	—	`conf`	Representing Context in Web Search with Ontological User Profiles. CONTEXT Ahu Sieg, Bamshad Mobasher, Robin D. Burke
2007	A	`conf`	Robustness of collaborative recommendation based on association rule mining. RecSys Jeff J. Sandvig, Bamshad Mobasher, Robin D. Burke
2007	J	`jnl`	Toward trustworthy recommender systems: An analysis of attack models and algorithm robustness. ACM Trans. Internet Techn. Bamshad Mobasher, Robin D. Burke, Runa Bhaumik, Chad Williams
2007	A	`conf`	Web search personalization with ontological user profiles. CIKM Ahu Sieg, Bamshad Mobasher, Robin D. Burke
2006	A*	`conf`	Classification features for attack detection in collaborative recommender systems. KDD Robin D. Burke, Bamshad Mobasher, Chad Williams, Runa Bhaumik
2006	—	`conf`	Detecting Profile Injection Attacks in Collaborative Filtering: A Classification-Based Approach. WebKDD Chad Williams, Bamshad Mobasher, Robin D. Burke, Runa Bhaumik
2006	—	`conf`	Detecting Profile Injection Attacks in Collaborative Recommender Systems. CEC/EEE Robin D. Burke, Bamshad Mobasher, Chad Williams, Runa Bhaumik
2006	A*	`conf`	Model-Based Collaborative Filtering as a Defense against Profile Injection Attacks. AAAI Bamshad Mobasher, Robin D. Burke, Jeff J. Sandvig
2006	J	`jnl`	The Sixth International Conference on Case-based Reasoning. AI Mag. Hector Muñoz-Avila, Francesco Ricci, Robin D. Burke
2005	—	`conf`	Analysis and Detection of Segment-Focused Attacks Against Collaborative Recommendation. WebKDD Bamshad Mobasher, Robin D. Burke, Chad Williams, Runa Bhaumik
2005	A*	`conf`	Segment-Based Injection Attacks against Collaborative Filtering Recommender Systems. ICDM Robin D. Burke, Bamshad Mobasher, Runa Bhaumik, Chad Williams
2004	—	`conf`	Hybrid Recommender Systems with Case-Based Components. ECCBR Robin D. Burke
2003	—	`conf`	Concept Based Query Enhancement in the ARCH Search Agent. International Conference on Internet Computing Ahu Sieg, Bamshad Mobasher, Steven L. Lytinen, Robin D. Burke
2003	—	`conf`	Hybrid Systems for Personalized Recommendations. ITWP Robin D. Burke
2002	J	`jnl`	Hybrid Recommender Systems: Survey and Experiments. User Model. User Adapt. Interact. Robin D. Burke
2002	J	`jnl`	Interactive Critiquing for Catalog Navigation in E-Commerce. Artif. Intell. Rev. Robin D. Burke
2001	C	`conf`	Ranking Algorithms for Costly Similarity Measures. ICCBR Robin D. Burke
2001	—	`conf`	Salticus: guided crawling for personal digital libraries. JCDL Robin D. Burke
2000	—	`conf`	A Case-Based Reasoning Approach to Collaborative Filtering. EWCBR Robin D. Burke
1999	—	`conf`	The Wasabi Personal Shopper: A Case-Based Recommender System. AAAI/IAAI Robin D. Burke
1998	—	`conf`	Answering Questions for an Organization Online. AAAI/IAAI Vladimir A. Kulyukin, Kristian J. Hammond, Robin D. Burke
1997	J	`jnl`	Question Answering from Frequently Asked Question Files: Experiences with the FAQ FINDER System. AI Mag. Robin D. Burke, Kristian J. Hammond, Vladimir A. Kulyukin, Steven L. Lytinen, Noriko Tomuro, Scott Schoenberg
1997	J	`jnl`	The FindMe Approach to Assisted Browsing. IEEE Expert Robin D. Burke, Kristian J. Hammond, Benjamin C. Young
1996	—	`conf`	Case-Based Teaching of Cardiac Auscultation. ICLS Kurt D. Fenstermacher, Robin D. Burke, Kristian J. Hammond
1996	J	`jnl`	Conceptual indexing and active retrieval of video for interactive learning environments. Knowl. Based Syst. Robin D. Burke
1996	—	`conf`	Knowledge-Based Navigation of Complex Information Spaces. AAAI/IAAI, Vol. 1 Robin D. Burke, Kristian J. Hammond, Benjamin C. Young
1995	A*	`conf`	A Case-Based Approach to Knowledge Navigation. IJCAI Kristian J. Hammond, Robin D. Burke, Steven L. Lytinen
1994	—	`conf`	A Case-Based Approach to Knowledge Navigation. KDD Workshop Kristian J. Hammond, Robin D. Burke, Kathryn Schmitt
1994	A*	`conf`	Tailoring Retrieval to Support Case-Based Teaching. AAAI Robin D. Burke, Alex Kass