Robin D. Burke

Proceedings of the Recommender Systems Handbook, 2022

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

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2022

Fairness in Information Access Systems.

[BibT_eX]

[DOI]

Found. Trends Inf. Retr., 2022

Who Pays? Personalization, Bossiness and the Cost of Fairness.

[BibT_eX]

[DOI]

Paresha Farastu

Nicholas Mattei

CoRR, 2022

Personalized recommendation of PoIs to people with autism: technical perspective.

[BibT_eX]

[DOI]

Commun. ACM, 2022

The Multisided Complexity of Fairness in Recommender Systems.

[BibT_eX]

[DOI]

AI Mag., 2022

5th Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP 2022).

[BibT_eX]

[DOI]

Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

Multi-agent Social Choice for Dynamic Fairness-aware Recommendation.

[BibT_eX]

[DOI]

Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

FAccTRec 2022: The 5th Workshop on Responsible Recommendation.

[BibT_eX]

[DOI]

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Recommender Systems and Algorithmic Hate.

[BibT_eX]

[DOI]

Jessie J. Smith

Lucia Jayne

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Personalization, Fairness, and Post-Userism.

[BibT_eX]

[DOI]

Perspectives on Digital Humanism, 2022

2021

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

[BibT_eX]

[DOI]

User Model. User Adapt. Interact., 2021

Flatter Is Better: Percentile Transformations for Recommender Systems.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2021

Virtual ACM UMAP 2020: the 28th conference on user modeling, adaptation, and personalization.

[BibT_eX]

[DOI]

SIGWEB Newsl., 2021

Unbiased Cascade Bandits: Mitigating Exposure Bias in Online Learning to Rank Recommendation.

[BibT_eX]

[DOI]

CoRR, 2021

Fairness and Discrimination in Information Access Systems.

[BibT_eX]

[DOI]

CoRR, 2021

User Factor Adaptation for User Embedding via Multitask Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Fairness and Transparency in Recommendation: The Users' Perspective.

[BibT_eX]

[DOI]

Florencia Cabral Berenfus

Jessie J. Smith

Casey Fiesler

Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 2021

User-centered Evaluation of Popularity Bias in Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 2021

Towards an Experimental News User Community as Infrastructure for Recommendation Research (abstract).

[BibT_eX]

[DOI]

Joseph A. Konstan

Edward C. Malthouse

Proceedings of the 9th International Workshop on News Recommendation and Analytics (INRA 2021) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

SimuRec: Workshop on Synthetic Data and Simulation Methods for Recommender Systems Research.

[BibT_eX]

[DOI]

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Fair Candidate Ranking with Spatial Partitioning: Lessons from the SIOP ML competition.

[BibT_eX]

[DOI]

Ian Burke

Goran Kuljanin

Proceedings of the Workshop on Recommender Systems for Human Resources (RecSys in HR 2021) co-located with the 15th ACM Conference on Recommender Systems (RecSys 2021), Amsterdam, The Netherlands, 27th September, 2021

librec-auto: A Tool for Recommender Systems Experimentation.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Multistakeholder recommendation: Survey and research directions.

[BibT_eX]

[DOI]

Gediminas Adomavicius

User Model. User Adapt. Interact., 2020

Reading Chicago Reading: Quantitative Analysis of a Repeating Literary Program.

[BibT_eX]

[DOI]

John Shanahan

Ana Lucic

Digit. Humanit. Q., 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Unfair Exposure of Artists in Music Recommendation.

[BibT_eX]

[DOI]

CoRR, 2020

Developing a Recommendation Benchmark for MLPerf Training and Inference.

[BibT_eX]

[DOI]

CoRR, 2020

Exploring User Opinions of Fairness in Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

Diego Sánchez-Moreno

María N. Moreno García

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

Fairness-aware Recommendation with librec-auto.

[BibT_eX]

[DOI]

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation.

[BibT_eX]

[DOI]

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Calibration in Collaborative Filtering Recommender Systems: a User-Centered Analysis.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the FAT* '20: Conference on Fairness, 2020

Feedback Loop and Bias Amplification in Recommender Systems.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Electron. Commer. Res. Appl., 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Reducing Popularity Bias in Recommendation Over Time.

[BibT_eX]

[DOI]

CoRR, 2019

Beyond Personalization: Research Directions in Multistakeholder Recommendation.

[BibT_eX]

[DOI]

Gediminas Adomavicius

CoRR, 2019

Localized Fairness in Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Adjunct Publication of the 27th Conference on User Modeling, 2019

FairUMAP 2019 Chairs' Welcome Overview.

[BibT_eX]

[DOI]

Proceedings of the Adjunct Publication of the 27th Conference on User Modeling, 2019

Fairness and Discrimination in Retrieval and Recommendation.

[BibT_eX]

[DOI]

Michael D. Ekstrand

Fernando Diaz

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Edward C. Malthouse

Khadija Ali Vakeel

Yasaman Kamyab Hessary

Morana Fuduric

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.

[BibT_eX]

[DOI]

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Michael D. Ekstrand

Fernando Diaz

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

RMSE: Workshop on Recommendation in Multi-stakeholder Environments.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

The Unfairness of Popularity Bias in Recommendation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Ana Lucic

John Shanahan

Proceedings of the 19th ACM/IEEE Joint Conference on Digital Libraries, 2019

Managing Popularity Bias in Recommender Systems with Personalized Re-Ranking.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

Algorithm Selection with Librec-auto.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Synthetic Attribute Data for Evaluating Consumer-side Fairness.

[BibT_eX]

[DOI]

Jackson Kontny

CoRR, 2018

Personalizing Fairness-aware Re-ranking.

[BibT_eX]

[DOI]

Weiwen Liu

CoRR, 2018

Value-Aware Item Weighting for Long-Tail Recommendation.

[BibT_eX]

[DOI]

CoRR, 2018

UMAP 2018 Fairness in User Modeling, Adaptation and Personalization (FairUMAP 2018) Chairs' Welcome & Organization: Preface.

[BibT_eX]

[DOI]

Proceedings of the Adjunct Publication of the 26th Conference on User Modeling, 2018

Multistakeholder recommendation with provider constraints.

[BibT_eX]

[DOI]

Özge Sürer

Edward C. Malthouse

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Automating recommender systems experimentation with librec-auto.

[BibT_eX]

[DOI]

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Inferring User Expertise from Social Tagging in Music Recommender Systems for Streaming Services.

[BibT_eX]

[DOI]

Diego Sánchez-Moreno

María N. Moreno García

Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018

Balanced Neighborhoods for Multi-sided Fairness in Recommendation.

[BibT_eX]

[DOI]

Aldo Ordonez-Gauger

Proceedings of the Conference on Fairness, Accountability and Transparency, 2018

2017

Emotions in Context-Aware Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Emotions and Personality in Personalized Services, 2017

Multirelational Recommendation in Heterogeneous Networks.

[BibT_eX]

[DOI]

ACM Trans. Web, 2017

Patterns of Multistakeholder Recommendation.

[BibT_eX]

[DOI]

CoRR, 2017

Multisided Fairness for Recommendation.

[BibT_eX]

[DOI]

CoRR, 2017

Weighted Random Walk Sampling for Multi-Relational Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

A Clustering Approach for Personalizing Diversity in Collaborative Recommender Systems.

[BibT_eX]

[DOI]

Farzad Eskandanian

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

Recommender Systems as Multistakeholder Environments.

[BibT_eX]

[DOI]

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

VAMS 2017: Workshop on Value-Aware and Multistakeholder Recommendation.

[BibT_eX]

[DOI]

Gediminas Adomavicius

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Controlling Popularity Bias in Learning-to-Rank Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Circulation Modeling of Library Book Promotions.

[BibT_eX]

[DOI]

Ana Lucic

John Shanahan

Proceedings of the 2017 ACM/IEEE Joint Conference on Digital Libraries, 2017

Using Uncertain Graphs to Automatically Generate Event Flows from News Stories.

[BibT_eX]

[DOI]

Laura Christiansen

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.

[BibT_eX]

[DOI]

Farzad Eskandanian

Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

Educational Recommendation with Multiple Stakeholders.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

User-Oriented Context Suggestion.

[BibT_eX]

[DOI]

Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

Towards Multi-Stakeholder Utility Evaluation of Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Late-breaking Results, 2016

Weighted Random Walks for Meta-Path Expansion in Heterogeneous Networks.

[BibT_eX]

[DOI]

Proceedings of the Poster Track of the 10th ACM Conference on Recommender Systems (RecSys 2016), 2016

User Segmentation for Controlling Recommendation Diversity.

[BibT_eX]

[DOI]

Farzad Eskandanian

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.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

2015

Robust Collaborative Recommendation.

[BibT_eX]

[DOI]

Michael P. O'Mahony

Neil J. Hurley

Proceedings of the Recommender Systems Handbook, 2015

Similarity-Based Context-Aware Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Web Information Systems Engineering - WISE 2015, 2015

Integrating Context Similarity with Sparse Linear Recommendation Model.

[BibT_eX]

[DOI]

Proceedings of the User Modeling, Adaptation and Personalization, 2015

Network-Based Extension of Multi-Relational Factorization Models.

[BibT_eX]

[DOI]

Mehdi Hosseinzadeh Aghdam

Proceedings of the Poster Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Adapting Recommendations to Contextual Changes Using Hierarchical Hidden Markov Models.

[BibT_eX]

[DOI]

Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Incorporating Context Correlation into Context-aware Matrix Factorization.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

CARSKit: A Java-Based Context-Aware Recommendation Engine.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

Context Recommendation Using Multi-label Classification.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Jonathan Gemmell

Proceedings of the User Modeling, Adaptation, and Personalization, 2014

Hybrid Recommendation in Heterogeneous Networks.

[BibT_eX]

[DOI]

Proceedings of the User Modeling, Adaptation, and Personalization, 2014

Splitting approaches for context-aware recommendation: an empirical study.

[BibT_eX]

[DOI]

Proceedings of the Symposium on Applied Computing, 2014

CSLIM: contextual SLIM recommendation algorithms.

[BibT_eX]

[DOI]

Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Predicting Component Utilities for Linear-Weighted Hybrid Recommendation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Resource Recommendation in Social Annotation Systems Based on User Partitioning.

[BibT_eX]

[DOI]

Jonathan Gemmell

Proceedings of the E-Commerce and Web Technologies - 15th International Conference, 2014

Deviation-Based Contextual SLIM Recommenders.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

Recommendation with Differential Context Weighting.

[BibT_eX]

[DOI]

Proceedings of the User Modeling, Adaptation, and Personalization, 2013

The Role of Emotions in Context-aware Recommendation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Social Web Recommendation using Metapaths.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Alexander Felfernig

Pearl Pu

User Model. User Adapt. Interact., 2012

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Int. J. Hum. Comput. Interact., 2012

Using social tags to infer context in hybrid music recommendation.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Workshop on Web Information and Data Management, 2012

Modeling topic trends on the social web using temporal signatures.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Workshop on Web Information and Data Management, 2012

Context-aware music recommendation based on latenttopic sequential patterns.

[BibT_eX]

[DOI]

Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

Differential Context Relaxation for Context-Aware Travel Recommendation.

[BibT_eX]

[DOI]

Proceedings of the E-Commerce and Web Technologies - 13th International Conference, 2012

2011

Matching Recommendation Technologies and Domains.

[BibT_eX]

[DOI]

Maryam Ramezani

Proceedings of the Recommender Systems Handbook, 2011

Robust Collaborative Recommendation.

[BibT_eX]

[DOI]

Michael P. O'Mahony

Neil J. Hurley

Proceedings of the Recommender Systems Handbook, 2011

Recommendation in the Social Web.

[BibT_eX]

[DOI]

AI Mag., 2011

Recommender Systems: An Overview.

[BibT_eX]

[DOI]

Alexander Felfernig

Mehmet H. Göker

AI Mag., 2011

Tag-Based Resource Recommendation in Social Annotation Applications.

[BibT_eX]

[DOI]

Proceedings of the User Modeling, Adaption and Personalization, 2011

Interactive multi-party critiquing for group recommendation.

[BibT_eX]

[DOI]

Francesca Guzzi

Francesco Ricci

Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

Experience Discovery: hybrid recommendation of student activities using social network data.

[BibT_eX]

[DOI]

Scott Riley

Proceedings of the 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems, 2011

Context-Aware Recommendation Based On Review Mining.

[BibT_eX]

[DOI]

Proceedings of the 9th Workshop on Intelligent Techniques for Web Personalization & Recommender Systems, 2011

Recommendation by Example in Social Annotation Systems.

[BibT_eX]

[DOI]

Proceedings of the E-Commerce and Web Technologies - 12th International Conference, 2011

2010

Ontology-Based Collaborative Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 8th Workshop on Intelligent Techniques for Web Personalization & Recommender Systems, 2010

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

[BibT_eX]

[DOI]

Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems, 2010

Evaluating the dynamic properties of recommendation algorithms.

[BibT_eX]

[DOI]

Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

Resource Recommendation in Collaborative Tagging Applications.

[BibT_eX]

[DOI]

Proceedings of the E-Commerce and Web Technologies, 11th International Conference, 2010

Hybrid tag recommendation for social annotation systems.

[BibT_eX]

[DOI]

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009

Evaluating the Impact of Attacks in Collaborative Tagging Environments.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Data Eng. Bull., 2008

Personalized recommendation in social tagging systems using hierarchical clustering.

[BibT_eX]

[DOI]

Proceedings of the 2008 ACM Conference on Recommender Systems, 2008

Robust recommender systems.

[BibT_eX]

[DOI]

Proceedings of the 2008 ACM Conference on Recommender Systems, 2008

Personalizing Navigation in Folksonomies Using Hierarchical Tag Clustering.

[BibT_eX]

[DOI]

Proceedings of the Data Warehousing and Knowledge Discovery, 10th International Conference, 2008

Constraint-based recommender systems: technologies and research issues.

[BibT_eX]

[DOI]

Alexander Felfernig

Proceedings of the 10th International Conference on Electronic Commerce 2008, 2008

2007

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

[BibT_eX]

[DOI]

ACM Trans. Internet Techn., 2007

Defending recommender systems: detection of profile injection attacks.

[BibT_eX]

[DOI]

Chad Williams

Serv. Oriented Comput. Appl., 2007

Attacks and Remedies in Collaborative Recommendation.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2007

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

[BibT_eX]

[DOI]

IEEE Intell. Informatics Bull., 2007

Robustness of collaborative recommendation based on association rule mining.

[BibT_eX]

[DOI]

Proceedings of the 2007 ACM Conference on Recommender Systems, 2007

Ontological User Profiles for Representing Context in Web Search.

[BibT_eX]

[DOI]

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.

[BibT_eX]

Amber Settle

Lucia Dettori

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.

[BibT_eX]

[DOI]

Proceedings of the E-Commerce and Web Technologies, 8th International Conference, 2007

Crawling Attacks Against Web-based Recommender Systems.

[BibT_eX]

Runa Bhaumik

Proceedings of the 2007 International Conference on Data Mining, 2007

Representing Context in Web Search with Ontological User Profiles.

[BibT_eX]

[DOI]

Proceedings of the Modeling and Using Context, 2007

Web search personalization with ontological user profiles.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, 2007

Hybrid Web Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Adaptive Web, Methods and Strategies of Web Personalization, 2007

2006

The Sixth International Conference on Case-based Reasoning.

[BibT_eX]

[DOI]

Hector Muñoz-Avila

Francesco Ricci

AI Mag., 2006

Detecting Profile Injection Attacks in Collaborative Recommender Systems.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Advances in Web Mining and Web Usage Analysis, 2006

Classification features for attack detection in collaborative recommender systems.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Proceedings, 2006

2005

Analysis and Detection of Segment-Focused Attacks Against Collaborative Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Web Mining and Web Usage Analysis, 2005

Segment-Based Injection Attacks against Collaborative Filtering Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

2004

Hybrid Recommender Systems with Case-Based Components.

[BibT_eX]

[DOI]

Proceedings of the Advances in Case-Based Reasoning, 7th European Conference, 2004

2003

Hybrid Systems for Personalized Recommendations.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Techniques for Web Personalization, IJCAI 2003 Workshop, 2003

Concept Based Query Enhancement in the ARCH Search Agent.

[BibT_eX]

Proceedings of the International Conference on Internet Computing, 2003

2002

Hybrid Recommender Systems: Survey and Experiments.

[BibT_eX]

[DOI]

User Model. User Adapt. Interact., 2002

Interactive Critiquing for Catalog Navigation in E-Commerce.

[BibT_eX]

[DOI]

Artif. Intell. Rev., 2002

2001

Salticus: guided crawling for personal digital libraries.

[BibT_eX]

[DOI]

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2001

Ranking Algorithms for Costly Similarity Measures.

[BibT_eX]

[DOI]

Proceedings of the Case-Based Reasoning Research and Development, 2001

2000

Entree Chicago Recommendation Data.

[BibT_eX]

[DOI]

Dataset, March, 2000

A Case-Based Reasoning Approach to Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Case-Based Reasoning, 5th European Workshop, 2000

1999

The Wasabi Personal Shopper: A Case-Based Recommender System.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Vladimir A. Kulyukin

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.

[BibT_eX]

[DOI]

Benjamin C. Young

IEEE Expert, 1997

Question Answering from Frequently Asked Question Files: Experiences with the FAQ FINDER System.

[BibT_eX]

[DOI]

AI Mag., 1997

1996

Conceptual indexing and active retrieval of video for interactive learning environments.

[BibT_eX]

[DOI]

Knowl. Based Syst., 1996

Case-Based Teaching of Cardiac Auscultation.

[BibT_eX]

[DOI]

Kurt D. Fenstermacher

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.

[BibT_eX]

[DOI]

Benjamin C. Young

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.

[BibT_eX]

[DOI]

Steven L. Lytinen

Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

1994

A Case-Based Approach to Knowledge Navigation.

[BibT_eX]