Search Results - "Burke, Robin"

Recommender Systems: An Overview.

Authors: Burke, Robin Felfernig, Alexander Göker, Mehmet H.

Source: AI Magazine; Fall2011, Vol. 32 Issue 3, p13-18, 6p

Recommendation in the Social Web.

Authors: Burke, Robin Gemmell, Jonathan Hotho, Andreas

Source: AI Magazine; Fall2011, Vol. 32 Issue 3, p46-56, 11p

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

Authors: MANSOURY, MASOUD ABDOLLAHPOURI, HIMAN PECHENIZKIY, MYKOLA et al.

Source: ACM Transactions on Information Systems; 2022, Vol. 40 Issue 2, p1-31, 31p

Preface to the special issue on fair, accountable, and transparent recommender systems.

Authors: Burke, Robin Ekstrand, Michael D. Tintarev, Nava et al.

Source: User Modeling & User-Adapted Interaction; Jul2021, Vol. 31 Issue 3, p371-375, 5p

Intelligent Retrieval of Video Stories in a Social Simulation.

Authors: Burke, Robin

Source: Journal of Educational Multimedia and Hypermedia. 1993 2(4):381-392.

Peer Reviewed: Y

Page Count: 12

Descriptors: Computer Assisted Instruction, Computer Simulation, Hypermedia, Interpersonal Competence, Multimedia Instruction, Salesmanship, Story Telling, Teaching Methods

Multistakeholder recommendation: Survey and research directions.

Authors: Abdollahpouri, Himan Adomavicius, Gediminas Burke, Robin et al.

Source: User Modeling & User-Adapted Interaction; Mar2020, Vol. 30 Issue 1, p127-158, 32p

Attacks and Remedies in Collaborative Recommendation.

Authors: Mobasher, Bamshad Burke, Robin Bhaumik, Runa

Source: IEEE Intelligent Systems; May/June 2007, Vol. 22 Issue 3, p56-63, 8p

The Sixth International Conference on Case-Based Reasoning (ICCBR-05)

Authors: Muñoz-Avila, Héctor Ricci, Francesco Burke, Robin

Source: AI Magazine; Spring2006, Vol. 27 Issue 1, p101-102, 2p

The FindMe approach to assisted browsing.

Authors: Burke, Robin D. Hammond, Kristian J. Young, Benjamin C.

Source: IEEE Expert; July/August 1997, Vol. 12, p32-40, 9p

Question answering from frequently asked question files.

Authors: Burke, Robin D. Hammond, Kristian J. Kulyukin, Vladimir

Source: AI Magazine; Summer97, Vol. 18, p57-66, 10p

Multirelational Recommendation in Heterogeneous Networks.

Authors: VAHEDIAN, FATEMEH BURKE, ROBIN MOBASHER, BAMSHAD

Source: ACM Transactions on the Web; Jun2017, Vol. 11 Issue 3, p1-34, 34p

De-centering the (Traditional) user: Multistakeholder evaluation of recommender systems.

Authors: Burke, Robin Adomavicius, Gediminas Bogers, Toine et al.

Source: International Journal of Human-Computer Studies. Sep2025, Vol. 203, pN.PAG-N.PAG. 1p.

Subjects: Recommender systems, Stakeholder theory, Evaluation methodology, Standards, Scholarly method, Values (Ethics), Interpretation (Philosophy), Interdisciplinary research

The multisided complexity of fairness in recommender systems.

Authors: Sonboli, Nasim Burke, Robin Ekstrand, Michael et al.

Source: AI Magazine; Summer2022, Vol. 43 Issue 2, p164-176, 13p

Fairness in Information Access Systems.

Authors: Ekstrand, Michael D. Das, Anubrata Burke, Robin et al.

Source: Foundations & Trends in Information Retrieval; 2022, Vol. 16 Issue 1/2, p1-177, 177p

Recommenders: where CBR meets e-commerce.

Authors: Burke, Robin

Source: IEEE Intelligent Systems; May/June 2002, Vol. 17 Issue 3, p6-8, 3p

Preface to the special issue on user interfaces for recommender systems.

Authors: Felfernig, Alexander Burke, Robin Pu, Pearl

Source: User Modeling & User-Adapted Interaction; Oct2012, Vol. 22 Issue 4/5, p313-316, 4p

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

Authors: Mobasher, Bamshad Burke, Robin Bhaumik, Runa et al.

Source: ACM Transactions on Internet Technology; 2007, Vol. 7 Issue 4, p23-23.38, 38p, 5 Diagrams, 2 Charts, 12 Graphs

Flatter Is Better: Percentile Transformations for Recommender Systems.

Authors: Mansoury, Masoud Burke, Robin Mobasher, Bamshad

Source: ACM Transactions on Intelligent Systems & Technology. Apr2021, Vol. 12 Issue 2, p1-16. 16p.

Personalized Recommendation of PoIs to People with Autism.

Authors: Burke, Robin¹

Source: Communications of the ACM. Feb2022, Vol. 65 Issue 2, p100-100. 1p.