Nava Tintarev

Orcid: 0000-0002-5007-5161

Affiliations:
  • Maastricht University, The Netherlands


According to our database1, Nava Tintarev authored at least 110 papers between 2007 and 2024.

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Bibliography

2024
Evaluating explainable social choice-based aggregation strategies for group recommendation.
User Model. User Adapt. Interact., March, 2024

Navigating the Thin Line: Examining User Behavior in Search to Detect Engagement and Backfire Effects.
Proceedings of the Advances in Information Retrieval, 2024

NORMalize: A Tutorial on the Normative Design and Evaluation of Information Access Systems.
Proceedings of the 2024 ACM SIGIR Conference on Human Information Interaction and Retrieval, 2024

2023
Effects of AI and Logic-Style Explanations on Users' Decisions Under Different Levels of Uncertainty.
ACM Trans. Interact. Intell. Syst., December, 2023

Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education.
SIGIR Forum, June, 2023

Explaining Search Result Stances to Opinionated People.
Proceedings of the Explainable Artificial Intelligence, 2023

A Co-design Study for Multi-stakeholder Job Recommender System Explanations.
Proceedings of the Explainable Artificial Intelligence, 2023

Beyond Digital "Echo Chambers": The Role of Viewpoint Diversity in Political Discussion.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

NORMalize: The First Workshop on Normative Design and Evaluation of Recommender Systems.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Supporting High-Uncertainty Decisions through AI and Logic-Style Explanations.
Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

Viewpoint Diversity in Search Results.
Proceedings of the Advances in Information Retrieval, 2023

Evaluation of Human-Understandability of Global Model Explanations Using Decision Tree.
Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

Explainable Cross-Topic Stance Detection for Search Results.
Proceedings of the 2023 Conference on Human Information Interaction and Retrieval, 2023

Disentangling Fairness Perceptions in Algorithmic Decision-Making: the Effects of Explanations, Human Oversight, and Contestability.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Searching for the Whole Truth: Harnessing the Power of Intellectual Humility to Boost Better Search on Debated Topics.
Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
Beyond Explaining Single Item Recommendations.
Proceedings of the Recommender Systems Handbook, 2022

Recommender systems under European AI regulations.
Commun. ACM, 2022

Towards Healthy Engagement with Online Debates: An Investigation of Debate Summaries and Personalized Persuasive Suggestions.
Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

"It's Not Just Hate": A Multi-Dimensional Perspective on Detecting Harmful Speech Online.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Comprehensive Viewpoint Representations for a Deeper Understanding of User Interactions With Debated Topics.
Proceedings of the CHIIR '22: ACM SIGIR Conference on Human Information Interaction and Retrieval, Regensburg, Germany, March 14, 2022

2021
Preface to the special issue on fair, accountable, and transparent recommender systems.
User Model. User Adapt. Interact., 2021

Humanized Recommender Systems: State-of-the-art and Research Issues.
ACM Trans. Interact. Intell. Syst., 2021

Assessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics.
SIGKDD Explor., 2021

Design Implications for Explanations: A Case Study on Supporting Reflective Assessment of Potentially Misleading Videos.
Frontiers Artif. Intell., 2021

Diversity in News Recommendation (Dagstuhl Perspectives Workshop 19482).
Dagstuhl Manifestos, 2021

Designing Explanations for Group Recommender Systems.
CoRR, 2021

Operationalizing Framing to Support MultiperspectiveRecommendations of Opinion Pieces.
CoRR, 2021

Factors Influencing Privacy Concern for Explanations of Group Recommendation.
Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 2021

Workshop on Explainable User Models and Personalized Systems (ExUM 2021).
Proceedings of the Adjunct Publication of the 29th ACM Conference on User Modeling, 2021

This Is Not What We Ordered: Exploring Why Biased Search Result Rankings Affect User Attitudes on Debated Topics.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Toward Benchmarking Group Explanations: Evaluating the Effect of Aggregation Strategies versus Explanation.
Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2021 co-located with the 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

Disparate Impact Diminishes Consumer Trust Even for Advantaged Users.
Proceedings of the Persuasive Technology - 16th International Conference, 2021

This Item Might Reinforce Your Opinion: Obfuscation and Labeling of Search Results to Mitigate Confirmation Bias.
Proceedings of the HT '21: 32nd ACM Conference on Hypertext and Social Media, Virtual Event, Ireland, 30 August 2021, 2021

Exploring User Concerns about Disclosing Location and Emotion Information in Group Recommendations.
Proceedings of the HT '21: 32nd ACM Conference on Hypertext and Social Media, Virtual Event, Ireland, 30 August 2021, 2021

A Checklist to Combat Cognitive Biases in Crowdsourcing.
Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, 2021

Operationalizing Framing to Support Multiperspective Recommendations of Opinion Pieces.
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

2020
Effects of personal characteristics in control-oriented user interfaces for music recommender systems.
User Model. User Adapt. Interact., 2020

Does Reviewer Recommendation Help Developers?
IEEE Trans. Software Eng., 2020

Assessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics.
CoRR, 2020

Contextual Personalized Re-Ranking of Music Recommendations through Audio Features.
CoRR, 2020

Diversity in News Recommendations.
CoRR, 2020

Workshop on Explainable User Models and Personalized Systems (ExUM 2020).
Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

UMAP 2020 Workshop on Explainable User Models and Personalised Systems (ExUM) Chairs' Welcome & Organization.
Proceedings of the Adjunct Publication of the 28th ACM Conference on User Modeling, 2020

Eliciting User Preferences for Personalized Explanations for Video Summaries.
Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

Interactive Natural Language Technology for Explainable Artificial Intelligence.
Proceedings of the Trustworthy AI - Integrating Learning, Optimization and Reasoning, 2020

Ensuring Fairness in Group Recommendations by Rank-Sensitive Balancing of Relevance.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Toward Natural Language Mitigation Strategies for Cognitive Biases in Recommender Systems.
Proceedings of the 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence, 2020

Someone really wanted that song but it was not me!: Evaluating Which Information to Disclose in Explanations for Group Recommendations.
Proceedings of the IUI '20: 25th International Conference on Intelligent User Interfaces, 2020

Helping users discover perspectives: Enhancing opinion mining with joint topic models.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

You Do Not Decide for Me! Evaluating Explainable Group Aggregation Strategies for Tourism.
Proceedings of the HT '20: 31st ACM Conference on Hypertext and Social Media, 2020

Considerations for Applying Logical Reasoning to Explain Neural Network Outputs.
Proceedings of the Italian Workshop on Explainable Artificial Intelligence co-located with 19th International Conference of the Italian Association for Artificial Intelligence, 2020

2019
A methodology for creating and validating psychological stories for conveying and measuring psychological traits.
User Model. User Adapt. Interact., 2019

Reading News with a Purpose: Explaining User Profiles for Self-Actualization.
Proceedings of the Adjunct Publication of the 27th Conference on User Modeling, 2019

UMAP 2019 Workshop on Explainable and Holistic User Modeling (ExHUM) Chairs' Welcome & Organization.
Proceedings of the Adjunct Publication of the 27th Conference on User Modeling, 2019

ContextPlay: Evaluating User Control for Context-Aware Music Recommendation.
Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization, 2019

SIREN: A Simulation Framework for Understanding the Effects of Recommender Systems in Online News Environments.
Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

2018
The Dagstuhl Perspectives Workshop on Performance Modeling and Prediction.
SIGIR Forum, 2018

From Evaluating to Forecasting Performance: How to Turn Information Retrieval, Natural Language Processing and Recommender Systems into Predictive Sciences (Dagstuhl Perspectives Workshop 17442).
Dagstuhl Manifestos, 2018

Same, Same, but Different: Algorithmic Diversification of Viewpoints in News.
Proceedings of the Adjunct Publication of the 26th Conference on User Modeling, 2018

Generating Consensus Explanations for Group Recommendations: an exploratory study.
Proceedings of the Adjunct Publication of the 26th Conference on User Modeling, 2018

Effects of Individual Traits on Diversity-Aware Music Recommender User Interfaces.
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018

Knowing the unknown: visualising consumption blind-spots in recommender systems.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

A Diversity Adjusting Strategy with Personality for Music Recommendation.
Proceedings of the 5th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, 2018

Using Visualizations to Encourage Blind-Spot Exploration.
Proceedings of the 5th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, 2018

TourExplain: A Crowdsourcing Pipeline for Generating Explanations for Groups of Tourists.
Proceedings of the Workshop on Recommenders in Tourism, 2018

Effects of personal characteristics on music recommender systems with different levels of controllability.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

MovieTweeters: An Interactive Interface to Improve Recommendation Novelty.
Proceedings of the 5th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, 2018

Digitally Scaffolding Debate in the Classroom.
Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2017
Ephemeral Context to Support Robust and Diverse Music Recommendations.
CoRR, 2017

Sequences of Diverse Song Recommendations: An Exploratory Study in a Commercial System.
Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

Towards Analogy-based Recommendation: Benchmarking of Perceived Analogy Semantics.
Proceedings of the RecSys 2017 Workshop on Recommendation in Complex Scenarios co-located with 11th ACM Conference on Recommender Systems (RecSys 2017), 2017

RecSys'17 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Memorability of Semantically Grouped Online Reviews.
Proceedings of the Posters and Demos Track of the 13th International Conference on Semantic Systems, 2017

2016
Introduction to the Special Issue on Human Interaction with Artificial Advice Givers.
ACM Trans. Interact. Intell. Syst., 2016

Personal storytelling: Using Natural Language Generation for children with complex communication needs, in the wild...
Int. J. Hum. Comput. Stud., 2016

What am I not Seeing? An Interactive Approach to Social Content Discovery in Microblogs.
Proceedings of the Social Informatics - 8th International Conference, 2016

RecSys'16 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016

Natural language generation and fuzzy sets: An exploratory study on geographical referring expression generation.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Expressing Emotions as Emoticons for Online Intelligent Agents.
Proceedings of the HCI 2016, 2016

2015
Explaining Recommendations: Design and Evaluation.
Proceedings of the Recommender Systems Handbook, 2015

Benefits and Risks of Emphasis Adaptation in Study Workflows.
Proceedings of the Posters, Demos, Late-breaking Results and Workshop Proceedings of the 23rd Conference on User Modeling, Adaptation, and Personalization (UMAP 2015), Dublin, Ireland, June 29, 2015

Adapting Emotional Support to Personality for Carers Experiencing Stress.
Proceedings of the Posters, Demos, Late-breaking Results and Workshop Proceedings of the 23rd Conference on User Modeling, Adaptation, and Personalization (UMAP 2015), Dublin, Ireland, June 29, 2015

How Can Skin Check Reminders be Personalised to Patient Conscientiousness?
Proceedings of the Posters, Demos, Late-breaking Results and Workshop Proceedings of the 23rd Conference on User Modeling, Adaptation, and Personalization (UMAP 2015), Dublin, Ireland, June 29, 2015

Inspection Mechanisms for Community-based Content Discovery in Microblogs.
Proceedings of the Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, 2015

Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (#IntRS).
Proceedings of the 9th ACM Conference on Recommender Systems, 2015

2014
The development and evaluation of an emotional support algorithm for carers.
Intelligenza Artificiale, 2014

Adaptive Visualization of Plans.
Proceedings of the Posters, 2014

RecSys'14 joint workshop on interfaces and human decision making for recommender systems.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Demo: making plans scrutable with argumentation and natural language generation.
Proceedings of the 19th International Conference on Intelligent User Interfaces, 2014

Formal Arguments, Preferences, and Natural Language Interfaces to Humans: an Empirical Evaluation.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Natural language generation for augmentative and assistive technologies.
Proceedings of the Natural Language Generation in Interactive Systems, 2014

2013
Adapting Recommendation Diversity to Openness to Experience: A Study of Human Behaviour.
Proceedings of the User Modeling, Adaptation, and Personalization, 2013

Being Confident about the Quality of the Predictions in Recommender Systems.
Proceedings of the Advances in Information Retrieval, 2013

2012
Evaluating the effectiveness of explanations for recommender systems - Methodological issues and empirical studies on the impact of personalization.
User Model. User Adapt. Interact., 2012

RecSys'12 workshop on interfaces for recommender systems (InterfaceRS'12).
Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

MinkApp: Generating Spatio-temporal Summaries for Nature Conservation Volunteers.
Proceedings of the INLG 2012 - Proceedings of the Seventh International Natural Language Generation Conference, 30 May 2012, 2012

2011
Designing and Evaluating Explanations for Recommender Systems.
Proceedings of the Recommender Systems Handbook, 2011

Automatically generating stories from sensor data.
Proceedings of the 16th International Conference on Intelligent User Interfaces, 2011

A mobile phone based personal narrative system.
Proceedings of the 13th International ACM SIGACCESS Conference on Computers and Accessibility, 2011

2010
Using NLG and Sensors to Support Personal Narrative for Children with Complex Communication Needs.
Proceedings of the Workshop on Speech and Language Processing for Assistive Technologies, 2010

Off the beaten track: a mobile field study exploring the long tail of tourist recommendations.
Proceedings of the 12th Conference on Human-Computer Interaction with Mobile Devices and Services, 2010

Organizing Committee / Preface.
Proceedings of the Explanation-aware Computing, 2010

2009
Explaining recommendations.
PhD thesis, 2009

Rate it again: increasing recommendation accuracy by user re-rating.
Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

Organizing Committee / Preface.
Proceedings of the Explanation-aware Computing, 2009

2008
The Effectiveness of Personalized Movie Explanations: An Experiment Using Commercial Meta-data.
Proceedings of the Adaptive Hypermedia and Adaptive Web-Based Systems, 2008

2007
Explaining Recommendations.
Proceedings of the User Modeling 2007, 11th International Conference, 2007

Effective explanations of recommendations: user-centered design.
Proceedings of the 2007 ACM Conference on Recommender Systems, 2007

Explanations of recommendations.
Proceedings of the 2007 ACM Conference on Recommender Systems, 2007

A Survey of Explanations in Recommender Systems.
Proceedings of the 23rd International Conference on Data Engineering Workshops, 2007


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