Robin D. Burke

According to our database1, Robin D. Burke authored at least 151 papers between 1994 and 2021.

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Bibliography

2021
Flatter Is Better: Percentile Transformations for Recommender Systems.
ACM Trans. Intell. Syst. Technol., 2021

A Graph-based Approach for Mitigating Multi-sided Exposure Bias in Recommender Systems.
CoRR, 2021

Fairness and Discrimination in Information Access Systems.
CoRR, 2021

User Factor Adaptation for User Embedding via Multitask Learning.
CoRR, 2021

Fairness and Transparency in Recommendation: The Users' Perspective.
Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 2021

User-centered Evaluation of Popularity Bias in Recommender Systems.
Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 2021

2020
Multistakeholder recommendation: Survey and research directions.
User Model. User Adapt. Interact., 2020

Reading Chicago Reading: Quantitative Analysis of a Repeating Literary Program.
Digit. Humanit. Q., 2020

"And the Winner Is...": Dynamic Lotteries for Multi-group Fairness-Aware Recommendation.
CoRR, 2020

Addressing the Multistakeholder Impact of Popularity Bias in Recommendation Through Calibration.
CoRR, 2020

Unfair Exposure of Artists in Music Recommendation.
CoRR, 2020

Developing a Recommendation Benchmark for MLPerf Training and Inference.
CoRR, 2020

Exploring User Opinions of Fairness in Recommender Systems.
CoRR, 2020

Using Social Tag Embedding in a Collaborative Filtering Approach for Recommender Systems.
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.
Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems.
Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

Fairness-aware Recommendation with librec-auto.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Calibration in Collaborative Filtering Recommender Systems: a User-Centered Analysis.
Proceedings of the HT '20: 31st ACM Conference on Hypertext and Social Media, 2020

Experimentation with fairness-aware recommendation using librec-auto: hands-on tutorial.
Proceedings of the FAT* '20: Conference on Fairness, 2020

Feedback Loop and Bias Amplification in Recommender Systems.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Research commentary on recommendations with side information: A survey and research directions.
Electron. Commer. Res. Appl., 2019

The Impact of Popularity Bias on Fairness and Calibration in Recommendation.
CoRR, 2019

Reducing Popularity Bias in Recommendation Over Time.
CoRR, 2019

Beyond Personalization: Research Directions in Multistakeholder Recommendation.
CoRR, 2019

Localized Fairness in Recommender Systems.
Proceedings of the Adjunct Publication of the 27th Conference on User Modeling, 2019

FairUMAP 2019 Chairs' Welcome Overview.
Proceedings of the Adjunct Publication of the 27th Conference on User Modeling, 2019

Fairness and Discrimination in Retrieval and Recommendation.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison.
Proceedings of the Workshop on Recommendation in Multi-stakeholder Environments co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019), 2019

A Multistakeholder Recommender Systems Algorithm for Allocating Sponsored Recommendations.
Proceedings of the Workshop on Recommendation in Multi-stakeholder Environments co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019), 2019

Personalized fairness-aware re-ranking for microlending.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Crank up the Volume: Preference Bias Amplification in Collaborative Recommendation.
Proceedings of the Workshop on Recommendation in Multi-stakeholder Environments co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019), 2019

Fairness and discrimination in recommendation and retrieval.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

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

Recommendation in multistakeholder environments.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

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

Multi-stakeholder Recommendation and its Connection to Multi-sided Fairness.
Proceedings of the Workshop on Recommendation in Multi-stakeholder Environments co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019), 2019

Unsupervised Clustering with Smoothing for Detecting Paratext Boundaries in Scanned Documents.
Proceedings of the 19th ACM/IEEE Joint Conference on Digital Libraries, 2019

Managing Popularity Bias in Recommender Systems with Personalized Re-Ranking.
Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

Algorithm Selection with Librec-auto.
Proceedings of the 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval co-located with the 41st European Conference on Information Retrieval (ECIR 2019), 2019

2018
Recommender Systems Based on Social Networks.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Synthetic Attribute Data for Evaluating Consumer-side Fairness.
CoRR, 2018

Personalizing Fairness-aware Re-ranking.
CoRR, 2018

Value-Aware Item Weighting for Long-Tail Recommendation.
CoRR, 2018

UMAP 2018 Fairness in User Modeling, Adaptation and Personalization (FairUMAP 2018) Chairs' Welcome & Organization: Preface.
Proceedings of the Adjunct Publication of the 26th Conference on User Modeling, 2018

Multistakeholder recommendation with provider constraints.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Automating recommender systems experimentation with librec-auto.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Inferring User Expertise from Social Tagging in Music Recommender Systems for Streaming Services.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018

Balanced Neighborhoods for Multi-sided Fairness in Recommendation.
Proceedings of the Conference on Fairness, Accountability and Transparency, 2018

2017
Emotions in Context-Aware Recommender Systems.
Proceedings of the Emotions and Personality in Personalized Services, 2017

Multirelational Recommendation in Heterogeneous Networks.
ACM Trans. Web, 2017

Patterns of Multistakeholder Recommendation.
CoRR, 2017

Multisided Fairness for Recommendation.
CoRR, 2017

Weighted Random Walk Sampling for Multi-Relational Recommendation.
Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

A Clustering Approach for Personalizing Diversity in Collaborative Recommender Systems.
Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

Recommender Systems as Multistakeholder Environments.
Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

VAMS 2017: Workshop on Value-Aware and Multistakeholder Recommendation.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Controlling Popularity Bias in Learning-to-Rank Recommendation.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Circulation Modeling of Library Book Promotions.
Proceedings of the 2017 ACM/IEEE Joint Conference on Digital Libraries, 2017

Using Uncertain Graphs to Automatically Generate Event Flows from News Stories.
Proceedings of the Workshops Proceedings and Tutorials of the 28th ACM Conference on Hypertext and Social Media (HT 2017), 2017

2016
Collaborative Recommendation of Informal Learning Experiences.
Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

Educational Recommendation with Multiple Stakeholders.
Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

User-Oriented Context Suggestion.
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

Towards Multi-Stakeholder Utility Evaluation of Recommender Systems.
Proceedings of the Late-breaking Results, 2016

Weighted Random Walks for Meta-Path Expansion in Heterogeneous Networks.
Proceedings of the Poster Track of the 10th ACM Conference on Recommender Systems (RecSys 2016), 2016

User Segmentation for Controlling Recommendation Diversity.
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.
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

2015
Robust Collaborative Recommendation.
Proceedings of the Recommender Systems Handbook, 2015

Similarity-Based Context-Aware Recommendation.
Proceedings of the Web Information Systems Engineering - WISE 2015, 2015

Integrating Context Similarity with Sparse Linear Recommendation Model.
Proceedings of the User Modeling, Adaptation and Personalization, 2015

Network-Based Extension of Multi-Relational Factorization Models.
Proceedings of the Poster Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Adapting Recommendations to Contextual Changes Using Hierarchical Hidden Markov Models.
Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Incorporating Context Correlation into Context-aware Matrix Factorization.
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.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

CARSKit: A Java-Based Context-Aware Recommendation Engine.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014
Context Recommendation Using Multi-label Classification.
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.
Proceedings of the User Modeling, Adaptation, and Personalization, 2014

Hybrid Recommendation in Heterogeneous Networks.
Proceedings of the User Modeling, Adaptation, and Personalization, 2014

Splitting approaches for context-aware recommendation: an empirical study.
Proceedings of the Symposium on Applied Computing, 2014

CSLIM: contextual SLIM recommendation algorithms.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Predicting Component Utilities for Linear-Weighted Hybrid Recommendation.
Proceedings of the 6th Workshop on Recommender Systems and the Social Web (RSWeb 2014) co-located with the 8th ACM Conference on Recommender Systems (RecSys 2014), 2014

Context adaptation in interactive recommender systems.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Resource Recommendation in Social Annotation Systems Based on User Partitioning.
Proceedings of the E-Commerce and Web Technologies - 15th International Conference, 2014

Deviation-Based Contextual SLIM Recommenders.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Recommendation with Differential Context Weighting.
Proceedings of the User Modeling, Adaptation, and Personalization, 2013

The Role of Emotions in Context-aware Recommendation.
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

Query-driven context aware recommendation.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Social Web Recommendation using Metapaths.
Proceedings of the Fifth ACM RecSys Workshop on Recommender Systems and the Social Web co-located with the 7th ACM Conference on Recommender Systems (RecSys 2013), 2013

Supporting therapists in motion-based gaming for brain injury rehabilitation.
Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, 2013

2012
Preface to the special issue on user interfaces for recommender systems.
User Model. User Adapt. Interact., 2012

Resource recommendation in social annotation systems: A linear-weighted hybrid approach.
J. Comput. Syst. Sci., 2012

<i>Recommender Systems: An Introduction</i>, by Dietmar Jannach, Markus Zanker, Alexander Felfernig, and Gerhard FriedrichCambridge University Press, 2011, 336 pages. ISBN: 978-0-521-49336-9.
Int. J. Hum. Comput. Interact., 2012

Using social tags to infer context in hybrid music recommendation.
Proceedings of the Twelfth International Workshop on Web Information and Data Management, 2012

Modeling topic trends on the social web using temporal signatures.
Proceedings of the Twelfth International Workshop on Web Information and Data Management, 2012

Context-aware music recommendation based on latenttopic sequential patterns.
Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

Differential Context Relaxation for Context-Aware Travel Recommendation.
Proceedings of the E-Commerce and Web Technologies - 13th International Conference, 2012

2011
Matching Recommendation Technologies and Domains.
Proceedings of the Recommender Systems Handbook, 2011

Robust Collaborative Recommendation.
Proceedings of the Recommender Systems Handbook, 2011

Recommendation in the Social Web.
AI Mag., 2011

Recommender Systems: An Overview.
AI Mag., 2011

Tag-Based Resource Recommendation in Social Annotation Applications.
Proceedings of the User Modeling, Adaption and Personalization, 2011

Interactive multi-party critiquing for group recommendation.
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

Context-Aware Recommendation Based On Review Mining.
Proceedings of the 9th Workshop on Intelligent Techniques for Web Personalization & Recommender Systems, 2011

Recommendation by Example in Social Annotation Systems.
Proceedings of the E-Commerce and Web Technologies - 12th International Conference, 2011

2010
Ontology-Based Collaborative Recommendation.
Proceedings of the 8th Workshop on Intelligent Techniques for Web Personalization & Recommender Systems, 2010

Evaluating the dynamic properties of recommendation algorithms.
Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

Resource Recommendation in Collaborative Tagging Applications.
Proceedings of the E-Commerce and Web Technologies, 11th International Conference, 2010

Hybrid tag recommendation for social annotation systems.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Evaluating the Impact of Attacks in Collaborative Tagging Environments.
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

2008
A Survey of Collaborative Recommendation and the Robustness of Model-Based Algorithms.
IEEE Data Eng. Bull., 2008

Personalized recommendation in social tagging systems using hierarchical clustering.
Proceedings of the 2008 ACM Conference on Recommender Systems, 2008

Robust recommender systems.
Proceedings of the 2008 ACM Conference on Recommender Systems, 2008

Personalizing Navigation in Folksonomies Using Hierarchical Tag Clustering.
Proceedings of the Data Warehousing and Knowledge Discovery, 10th International Conference, 2008

Constraint-based recommender systems: technologies and research issues.
Proceedings of the 10th International Conference on Electronic Commerce 2008, 2008

2007
Toward trustworthy recommender systems: An analysis of attack models and algorithm robustness.
ACM Trans. Internet Techn., 2007

Defending recommender systems: detection of profile injection attacks.
Serv. Oriented Comput. Appl., 2007

Attacks and Remedies in Collaborative Recommendation.
IEEE Intell. Syst., 2007

Learning Ontology-Based User Profiles: A Semantic Approach to Personalized Web Search.
IEEE Intell. Informatics Bull., 2007

Robustness of collaborative recommendation based on association rule mining.
Proceedings of the 2007 ACM Conference on Recommender Systems, 2007

Ontological User Profiles for Representing Context in Web Search.
Proceedings of the 2007 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2007

Game Design as a Writing Course in the Liberal Arts.
Proceedings of the 2007 International Conference on Frontiers in Education: Computer Science & Computer Engineering, 2007

Impact of Relevance Measures on the Robustness and Accuracy of Collaborative Filtering.
Proceedings of the E-Commerce and Web Technologies, 8th International Conference, 2007

Crawling Attacks Against Web-based Recommender Systems.
Proceedings of the 2007 International Conference on Data Mining, 2007

Representing Context in Web Search with Ontological User Profiles.
Proceedings of the Modeling and Using Context, 2007

Web search personalization with ontological user profiles.
Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, 2007

Hybrid Web Recommender Systems.
Proceedings of the Adaptive Web, Methods and Strategies of Web Personalization, 2007

2006
The Sixth International Conference on Case-based Reasoning.
AI Mag., 2006

Detecting Profile Injection Attacks in Collaborative Recommender Systems.
Proceedings of the Eighth IEEE International Conference on E-Commerce Technology (CEC 2006) / Third IEEE International Conference on Enterprise Computing, 2006

Detecting Profile Injection Attacks in Collaborative Filtering: A Classification-Based Approach.
Proceedings of the Advances in Web Mining and Web Usage Analysis, 2006

Classification features for attack detection in collaborative recommender systems.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Model-Based Collaborative Filtering as a Defense against Profile Injection Attacks.
Proceedings of the Proceedings, 2006

2005
Analysis and Detection of Segment-Focused Attacks Against Collaborative Recommendation.
Proceedings of the Advances in Web Mining and Web Usage Analysis, 2005

Segment-Based Injection Attacks against Collaborative Filtering Recommender Systems.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

2004
Hybrid Recommender Systems with Case-Based Components.
Proceedings of the Advances in Case-Based Reasoning, 7th European Conference, 2004

2003
Hybrid Systems for Personalized Recommendations.
Proceedings of the Intelligent Techniques for Web Personalization, IJCAI 2003 Workshop, 2003

Concept Based Query Enhancement in the ARCH Search Agent.
Proceedings of the International Conference on Internet Computing, 2003

2002
Hybrid Recommender Systems: Survey and Experiments.
User Model. User Adapt. Interact., 2002

Interactive Critiquing for Catalog Navigation in E-Commerce.
Artif. Intell. Rev., 2002

2001
Salticus: guided crawling for personal digital libraries.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2001

Ranking Algorithms for Costly Similarity Measures.
Proceedings of the Case-Based Reasoning Research and Development, 2001

2000
A Case-Based Reasoning Approach to Collaborative Filtering.
Proceedings of the Advances in Case-Based Reasoning, 5th European Workshop, 2000

1999
The Wasabi Personal Shopper: A Case-Based Recommender System.
Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999

1998
Answering Questions for an Organization Online.
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

1997
The FindMe Approach to Assisted Browsing.
IEEE Expert, 1997

Question Answering from Frequently Asked Question Files: Experiences with the FAQ FINDER System.
AI Mag., 1997

1996
Conceptual indexing and active retrieval of video for interactive learning environments.
Knowl. Based Syst., 1996

Case-Based Teaching of Cardiac Auscultation.
Proceedings of the Learning for the Real World: Proceedings of the Second International Conference on the Learning Sciences, 1996

Knowledge-Based Navigation of Complex Information Spaces.
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

1995
A Case-Based Approach to Knowledge Navigation.
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

1994
A Case-Based Approach to Knowledge Navigation.
Proceedings of the Knowledge Discovery in Databases: Papers from the 1994 AAAI Workshop, 1994

Tailoring Retrieval to Support Case-Based Teaching.
Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994


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