Nava Tintarev

161 papers A* 3A 31B 7Misc 1Journal 49Unranked 55
YearRankTypeTitle / Venue / Authors
2026 J jnl
Critical reflections on user studies' evaluation methods for group recommender systems.
Int. J. Hum. Comput. Stud.
Francesco Barile, Pierre Hurlin, Cedric Waterschoot, Nava Tintarev
2025 J jnl
A Little More Like This: Text-to-Image Retrieval with Vision-Language Models Using Relevance Feedback.
CoRR
Bulat Khaertdinov, Mirela Popa, Nava Tintarev
2025 J jnl
Challenges of Human Oversight: Achieving Human Control of AI-Based Systems (Dagstuhl Seminar 25272).
Dagstuhl Reports
Markus Langer, Raimund Dachselt, Q. Vera Liao, Tim Miller, Nava Tintarev
2025 A conf
Consistent Explainers or Unreliable Narrators? Understanding LLM-generated Group Recommendations.
RecSys
Cedric Waterschoot, Nava Tintarev, Francesco Barile
2025 J jnl
Consistent Explainers or Unreliable Narrators? Understanding LLM-generated Group Recommendations.
CoRR
Cedric Waterschoot, Nava Tintarev, Francesco Barile
2025 J jnl
De-centering the (Traditional) User: Multistakeholder Evaluation of Recommender Systems.
CoRR
Robin Burke, Gediminas Adomavicius, Toine Bogers, Tommaso Di Noia, Dominik Kowald, Julia Neidhardt, Özlem Özgöbek, Maria Soledad Pera, Nava Tintarev, Jürgen Ziegler
2025 J jnl
De-centering the (Traditional) user: Multistakeholder evaluation of recommender systems.
Int. J. Hum. Comput. Stud.
Robin Burke, Gediminas Adomavicius, Toine Bogers, Tommaso Di Noia, Dominik Kowald, Julia Neidhardt, Özlem Özgöbek, Maria Soledad Pera, Nava Tintarev, Jürgen Ziegler
2025 A conf
Measuring Explanation Quality - A Path Forward.
ECAI
Nava Tintarev
2025 — conf
OKRA: An Explainable, Heterogeneous, Multi-stakeholder Job Recommender System.
ECIR (2)
Roan Schellingerhout, Francesco Barile, Nava Tintarev
2025 J jnl
OKRA: an Explainable, Heterogeneous, Multi-Stakeholder Job Recommender System.
CoRR
Roan Schellingerhout, Francesco Barile, Nava Tintarev
2025 — conf
Patient-Centred Explainability in IVF Outcome Prediction.
AIiH (2)
Adarsa Sivaprasad, Ehud Reiter, David J. Mclernon, Nava Tintarev, Siladitya Bhattacharya, Nir Oren
2025 J jnl
Patient-Centred Explainability in IVF Outcome Prediction.
CoRR
Adarsa Sivaprasad, Ehud Reiter, David J. Mclernon, Nava Tintarev, Siladitya Bhattacharya, Nir Oren
2025 — ed.
Proceedings of the Second Workshop on the Normative Design and Evaluation of Recommender Systems (NORMalize 2024) co-located with the 18th ACM Conference on Recommender Systems (RecSys 2024), Bari, Italy, October 18, 2024.
NORMalize@RecSys
Lien Michiels, Johannes Kruse, Nava Tintarev
2025 — conf
The Pitfalls of Growing Group Complexity: LLMs and Social Choice-Based Aggregation for Group Recommendations.
UMAP (Adjunct Publication)
Cedric Waterschoot, Nava Tintarev, Francesco Barile
2025 J jnl
The Pitfalls of Growing Group Complexity: LLMs and Social Choice-Based Aggregation for Group Recommendations.
CoRR
Cedric Waterschoot, Nava Tintarev, Francesco Barile
2025 A conf
VisualReF: Interactive Image Search Prototype with Visual Relevance Feedback.
RecSys
Bulat Khaertdinov, Mirela Popa, Nava Tintarev
2025 A conf
With Friends Like These, Who Needs Explanations? Evaluating User Understanding of Group Recommendations.
UMAP
Cedric Waterschoot, Raciel Yera Toledo, Nava Tintarev, Francesco Barile
2025 J jnl
With Friends Like These, Who Needs Explanations? Evaluating User Understanding of Group Recommendations.
CoRR
Cedric Waterschoot, Raciel Yera Toledo, Nava Tintarev, Francesco Barile
2024 — conf
A Preliminary Analysis on Self and Peer Evaluation of Personality Models for Recommender Systems.
UMAP (Adjunct Publication)
Francesco Barile, Federico Maria Cau, Nava Tintarev
2024 — conf
A Preliminary Study of the Impact of Personality on Satisfaction in Group Contexts.
UMAP (Adjunct Publication)
Francesco Barile, Federico Maria Cau, Nava Tintarev
2024 — conf
Bridging the Transparency Gap: Exploring Multi-Stakeholder Preferences for Targeted Advertisement Explanations.
IntRS@RecSys
Dina Zilbershtein, Francesco Barile, Daan Odijk, Nava Tintarev
2024 J jnl
Bridging the Transparency Gap: Exploring Multi-Stakeholder Preferences for Targeted Advertisement Explanations.
CoRR
Dina Zilbershtein, Francesco Barile, Daan Odijk, Nava Tintarev
2024 — conf
Creating Healthy Friction: Determining Stakeholder Requirements of Job Recommendation Explanations.
HR@RecSys
Roan Schellingerhout, Francesco Barile, Nava Tintarev
2024 J jnl
Creating Healthy Friction: Determining Stakeholder Requirements of Job Recommendation Explanations.
CoRR
Roan Schellingerhout, Francesco Barile, Nava Tintarev
2024 J jnl
Does SpatioTemporal information benefit Two video summarization benchmarks?
CoRR
Aashutosh Ganesh, Mirela Popa, Daan Odijk, Nava Tintarev
2024 — conf
Does spatio-temporal information benefit the video summarization task?
AEQUITAS@ECAI
Aashutosh Ganesh, Mirela Popa, Daan Odijk, Nava Tintarev
2024 J jnl
Evaluating explainable social choice-based aggregation strategies for group recommendation.
User Model. User Adapt. Interact.
Francesco Barile, Tim Draws, Oana Inel, Alisa Rieger, Shabnam Najafian, Amir Ebrahimi Fard, Rishav Hada, Nava Tintarev
2024 J jnl
How do people make decisions in disclosing personal information in tourism group recommendations in competitive versus cooperative conditions?
User Model. User Adapt. Interact.
Shabnam Najafian, Geoff Musick, Bart P. Knijnenburg, Nava Tintarev
2024 J jnl
Measuring the benefit of increased transparency and control in news recommendation.
AI Mag.
Nava Tintarev, Bart P. Knijnenburg, Martijn C. Willemsen
2024 A conf
NORMalize 2024: The Second Workshop on Normative Design and Evaluation of Recommender Systems.
RecSys
Alain Starke, Sanne Vrijenhoek, Lien Michiels, Johannes Kruse, Nava Tintarev
2024 B conf
NORMalize: A Tutorial on the Normative Design and Evaluation of Information Access Systems.
CHIIR
Johannes Kruse, Lien Michiels, Alain Starke, Nava Tintarev, Sanne Vrijenhoek
2024 — conf
Navigating the Thin Line: Examining User Behavior in Search to Detect Engagement and Backfire Effects.
ECIR (4)
Federico Maria Cau, Nava Tintarev
2024 J jnl
Navigating the Thin Line: Examining User Behavior in Search to Detect Engagement and Backfire Effects.
CoRR
Federico Maria Cau, Nava Tintarev
2024 J jnl
Nudges to Mitigate Confirmation Bias during Web Search on Debated Topics: Support vs. Manipulation.
ACM Trans. Web
Alisa Rieger, Tim Draws, Mariët Theune, Nava Tintarev
2024 — ed.
Proceedings of the First Workshop on the Normative Design and Evaluation of Recommender Systems (NORMalize 2023) co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore, September 19, 2023.
NORMalize@RecSys
Lien Michiels, Johannes Kruse, Jordi Viader Guerrero, Nava Tintarev
2023 J jnl
A Co-design Study for Multi-Stakeholder Job Recommender System Explanations.
CoRR
Roan Schellingerhout, Francesco Barile, Nava Tintarev
2023 — conf
A Co-design Study for Multi-stakeholder Job Recommender System Explanations.
xAI (2)
Roan Schellingerhout, Francesco Barile, Nava Tintarev
2023 A conf
Beyond Digital "Echo Chambers": The Role of Viewpoint Diversity in Political Discussion.
WSDM
Rishav Hada, Amir Ebrahimi Fard, Sarah Shugars, Federico Bianchi, Patrícia G. C. Rossini, Dirk Hovy, Rebekah Tromble, Nava Tintarev
2023 A* conf
Disentangling Fairness Perceptions in Algorithmic Decision-Making: the Effects of Explanations, Human Oversight, and Contestability.
CHI
Mireia Yurrita, Tim Draws, Agathe Balayn, Dave Murray-Rust, Nava Tintarev, Alessandro Bozzon
2023 J jnl
Effects of AI and Logic-Style Explanations on Users' Decisions Under Different Levels of Uncertainty.
ACM Trans. Interact. Intell. Syst.
Federico Maria Cau, Hanna Hauptmann, Lucio Davide Spano, Nava Tintarev
2023 — conf
Evaluation of Human-Understandability of Global Model Explanations Using Decision Tree.
ECAI Workshops (1)
Adarsa Sivaprasad, Ehud Reiter, Nava Tintarev, Nir Oren
2023 J jnl
Evaluation of Human-Understandability of Global Model Explanations using Decision Tree.
CoRR
Adarsa Sivaprasad, Ehud Reiter, Nava Tintarev, Nir Oren
2023 B conf
Explainable Cross-Topic Stance Detection for Search Results.
CHIIR
Tim Draws, Karthikeyan Natesan Ramamurthy, Ioana Baldini, Amit Dhurandhar, Inkit Padhi, Benjamin Timmermans, Nava Tintarev
2023 — conf
Explaining Search Result Stances to Opinionated People.
xAI (2)
Zhangyi Wu, Tim Draws, Federico Cau, Francesco Barile, Alisa Rieger, Nava Tintarev
2023 J jnl
Explaining Search Result Stances to Opinionated People.
CoRR
Zhangyi Wu, Tim Draws, Federico Cau, Francesco Barile, Alisa Rieger, Nava Tintarev
2023 A conf
NORMalize: The First Workshop on Normative Design and Evaluation of Recommender Systems.
RecSys
Sanne Vrijenhoek, Lien Michiels, Johannes Kruse, Alain Starke, Nava Tintarev, Jordi Viader Guerrero
2023 J jnl
Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education.
SIGIR Forum
Christine Bauer, Ben Carterette, Nicola Ferro, Norbert Fuhr, Joeran Beel, Timo Breuer, Charles L. A. Clarke, Anita Crescenzi, Gianluca Demartini, Giorgio Maria Di Nunzio, Laura Dietz, Guglielmo Faggioli, Bruce Ferwerda, Maik Fröbe, Matthias Hagen, Allan Hanbury, Claudia Hauff, Dietmar Jannach, Noriko Kando, Evangelos Kanoulas, Bart P. Knijnenburg, Udo Kruschwitz, Meijie Li, Maria Maistro, Lien Michiels, Andrea Papenmeier, Martin Potthast, Paolo Rosso, Alan Said, Philipp Schaer, Christin Seifert, Damiano Spina, Benno Stein, Nava Tintarev, Julián Urbano, Henning Wachsmuth, Martijn C. Willemsen, Justin Zobel
2023 — conf
Searching for the Whole Truth: Harnessing the Power of Intellectual Humility to Boost Better Search on Debated Topics.
CHI Extended Abstracts
Alisa Rieger, Frank Bredius, Nava Tintarev, Maria Soledad Pera
2023 A conf
Supporting High-Uncertainty Decisions through AI and Logic-Style Explanations.
IUI
Federico Maria Cau, Hanna Hauptmann, Lucio Davide Spano, Nava Tintarev
2023 — conf
Viewpoint Diversity in Search Results.
ECIR (1)
Tim Draws, Nirmal Roy, Oana Inel, Alisa Rieger, Rishav Hada, Mehmet Orcun Yalcin, Benjamin Timmermans, Nava Tintarev
2022 A* conf
"It's Not Just Hate": A Multi-Dimensional Perspective on Detecting Harmful Speech Online.
EMNLP
Federico Bianchi, Stefanie Anja Hills, Patrícia G. C. Rossini, Dirk Hovy, Rebekah Tromble, Nava Tintarev
2022 J jnl
"It's Not Just Hate": A Multi-Dimensional Perspective on Detecting Harmful Speech Online.
CoRR
Federico Bianchi, Stefanie Anja Hills, Patrícia G. C. Rossini, Dirk Hovy, Rebekah Tromble, Nava Tintarev
2022 J jnl
Beyond Digital "Echo Chambers": The Role of Viewpoint Diversity in Political Discussion.
CoRR
Rishav Hada, Amir Ebrahimi Fard, Sarah Shugars, Federico Bianchi, Patrícia G. C. Rossini, Dirk Hovy, Rebekah Tromble, Nava Tintarev
2022 — ch.
Beyond Explaining Single Item Recommendations.
Recommender Systems Handbook
Nava Tintarev, Judith Masthoff
2022 B conf
Comprehensive Viewpoint Representations for a Deeper Understanding of User Interactions With Debated Topics.
CHIIR
Tim Draws, Oana Inel, Nava Tintarev, Christian Baden, Benjamin Timmermans
2022 J jnl
Recommender systems under European AI regulations.
Commun. ACM
Tommaso Di Noia, Nava Tintarev, Panagiota Fatourou, Markus Schedl
2022 — conf
Towards Healthy Engagement with Online Debates: An Investigation of Debate Summaries and Personalized Persuasive Suggestions.
UMAP (Adjunct Publication)
Alisa Rieger, Qurat-ul-ain Shaheen, Carles Sierra, Mariët Theune, Nava Tintarev
2021 B conf
A Checklist to Combat Cognitive Biases in Crowdsourcing.
HCOMP
Tim Draws, Alisa Rieger, Oana Inel, Ujwal Gadiraju, Nava Tintarev
2021 — ed.
Adjunct Publication of the 29th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2021, Utrecht, The Netherlands, June 21-25, 2021.
UMAP (Adjunct Publication)
Judith Masthoff, Eelco Herder, Nava Tintarev, Marko Tkalcic
2021 J jnl
Assessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics.
SIGKDD Explor.
Tim Draws, Nava Tintarev, Ujwal Gadiraju
2021 J jnl
Design Implications for Explanations: A Case Study on Supporting Reflective Assessment of Potentially Misleading Videos.
Frontiers Artif. Intell.
Oana Inel, Tomislav Duricic, Harmanpreet Kaur, Elisabeth Lex, Nava Tintarev
2021 J jnl
Designing Explanations for Group Recommender Systems.
CoRR
Alexander Felfernig, Nava Tintarev, Thi Ngoc Trang Tran, Martin Stettinger
2021 B conf
Disparate Impact Diminishes Consumer Trust Even for Advantaged Users.
PERSUASIVE
Tim Draws, Zoltán Szlávik, Benjamin Timmermans, Nava Tintarev, Kush R. Varshney, Michael Hind
2021 J jnl
Disparate Impact Diminishes Consumer Trust Even for Advantaged Users.
CoRR
Tim Draws, Zoltán Szlávik, Benjamin Timmermans, Nava Tintarev, Kush R. Varshney, Michael Hind
2021 J jnl
Diversity in News Recommendation (Dagstuhl Perspectives Workshop 19482).
Dagstuhl Manifestos
Abraham Bernstein, Claes H. de Vreese, Natali Helberger, Wolfgang Schulz, Katharina A. Zweig, Christian Baden, Michael A. Beam, Marc P. Hauer, Lucien Heitz, Pascal Jürgens, Christian Katzenbach, Benjamin Kille, Beate Klimkiewicz, Wiebke Loosen, Judith Möller, Goran Radanovic, Guy Shani, Nava Tintarev, Suzanne Tolmeijer, Wouter van Atteveldt, Sanne Vrijenhoek, Theresa Zueger
2021 — conf
Exploring User Concerns about Disclosing Location and Emotion Information in Group Recommendations.
HT
Shabnam Najafian, Tim Draws, Francesco Barile, Marko Tkalcic, Jie Yang, Nava Tintarev
2021 A conf
Factors Influencing Privacy Concern for Explanations of Group Recommendation.
UMAP
Shabnam Najafian, Amra Delic, Marko Tkalcic, Nava Tintarev
2021 J jnl
Humanized Recommender Systems: State-of-the-art and Research Issues.
ACM Trans. Interact. Intell. Syst.
Thi Ngoc Trang Tran, Alexander Felfernig, Nava Tintarev
2021 — conf
Operationalizing Framing to Support Multiperspective Recommendations of Opinion Pieces.
FAccT
Mats Mulder, Oana Inel, Jasper Oosterman, Nava Tintarev
2021 J jnl
Operationalizing Framing to Support MultiperspectiveRecommendations of Opinion Pieces.
CoRR
Mats Mulder, Oana Inel, Jasper Oosterman, Nava Tintarev
2021 J jnl
Preface to the special issue on fair, accountable, and transparent recommender systems.
User Model. User Adapt. Interact.
Robin Burke, Michael D. Ekstrand, Nava Tintarev, Julita Vassileva
2021 A ed.
Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2021, Utrecht, The Netherlands, June, 21-25, 2021.
UMAP
Judith Masthoff, Eelco Herder, Nava Tintarev, Marko Tkalcic
2021 A* conf
This Is Not What We Ordered: Exploring Why Biased Search Result Rankings Affect User Attitudes on Debated Topics.
SIGIR
Tim Draws, Nava Tintarev, Ujwal Gadiraju, Alessandro Bozzon, Benjamin Timmermans
2021 — conf
This Item Might Reinforce Your Opinion: Obfuscation and Labeling of Search Results to Mitigate Confirmation Bias.
HT
Alisa Rieger, Tim Draws, Mariët Theune, Nava Tintarev
2021 — conf
Toward Benchmarking Group Explanations: Evaluating the Effect of Aggregation Strategies versus Explanation.
Perspectives@RecSys
Francesco Barile, Shabnam Najafian, Tim Draws, Oana Inel, Alisa Rieger, Rishav Hada, Nava Tintarev
2021 — conf
Workshop on Explainable User Models and Personalized Systems (ExUM 2021).
UMAP (Adjunct Publication)
Cataldo Musto, Nava Tintarev, Oana Inel, Marco Polignano, Giovanni Semeraro, Jürgen Ziegler
2020 J jnl
Assessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics.
CoRR
Tim Draws, Nava Tintarev, Ujwal Gadiraju, Alessandro Bozzon, Benjamin Timmermans
2020 — conf
Considerations for Applying Logical Reasoning to Explain Neural Network Outputs.
XAI.it@AI*IA
Federico Maria Cau, Lucio Davide Spano, Nava Tintarev
2020 J jnl
Contextual Personalized Re-Ranking of Music Recommendations through Audio Features.
CoRR
Boning Gong, Mesut Kaya, Nava Tintarev
2020 J jnl
Diversity in News Recommendations.
CoRR
Abraham Bernstein, Claes H. de Vreese, Natali Helberger, Wolfgang Schulz, Katharina A. Zweig, Christian Baden, Michael A. Beam, Marc P. Hauer, Lucien Heitz, Pascal Jürgens, Christian Katzenbach, Benjamin Kille, Beate Klimkiewicz, Wiebke Loosen, Judith Möller, Goran Radanovic, Guy Shani, Nava Tintarev, Suzanne Tolmeijer, Wouter van Atteveldt, Sanne Vrijenhoek, Theresa Zueger
2020 J jnl
Does Reviewer Recommendation Help Developers?
IEEE Trans. Software Eng.
Vladimir Kovalenko, Nava Tintarev, Evgeny Pasynkov, Christian Bird, Alberto Bacchelli
2020 J jnl
Effects of personal characteristics in control-oriented user interfaces for music recommender systems.
User Model. User Adapt. Interact.
Yucheng Jin, Nava Tintarev, Nyi Nyi Htun, Katrien Verbert
2020 A conf
Eliciting User Preferences for Personalized Explanations for Video Summaries.
UMAP
Oana Inel, Nava Tintarev, Lora Aroyo
2020 J jnl
Eliciting User Preferences for Personalized Explanations for Video Summaries.
CoRR
Oana Inel, Nava Tintarev, Lora Aroyo
2020 A conf
Ensuring Fairness in Group Recommendations by Rank-Sensitive Balancing of Relevance.
RecSys
Mesut Kaya, Derek G. Bridge, Nava Tintarev
2020 — conf
Helping users discover perspectives: Enhancing opinion mining with joint topic models.
ICDM (Workshops)
Tim Draws, Jody Liu, Nava Tintarev
2020 J jnl
Helping users discover perspectives: Enhancing opinion mining with joint topic models.
CoRR
Tim Draws, Jody Liu, Nava Tintarev
2020 A ed.
IUI '20: 25th International Conference on Intelligent User Interfaces, Cagliari, Italy, March 17-20, 2020
IUI
Fabio Paternò, Nuria Oliver, Cristina Conati, Lucio Davide Spano, Nava Tintarev
2020 — conf
Interactive Natural Language Technology for Explainable Artificial Intelligence.
TAILOR
José Maria Alonso, Senén Barro, Alberto Bugarín, Kees van Deemter, Claire Gardent, Albert Gatt, Ehud Reiter, Carles Sierra, Mariët Theune, Nava Tintarev, Hitoshi Yano, Katarzyna Budzynska
2020 — conf
Someone really wanted that song but it was not me!: Evaluating Which Information to Disclose in Explanations for Group Recommendations.
IUI Companion
Shabnam Najafian, Oana Inel, Nava Tintarev
2020 — conf
Toward Natural Language Mitigation Strategies for Cognitive Biases in Recommender Systems.
NL4XAI@INGL
Alisa Rieger, Mariët Theune, Nava Tintarev
2020 — conf
UMAP 2020 Workshop on Explainable User Models and Personalised Systems (ExUM) Chairs' Welcome & Organization.
UMAP (Adjunct Publication)
Cataldo Musto, Nava Tintarev, Oana Inel, Marco Polignano, Giovanni Semeraro, Jürgen Ziegler
2020 A conf
Workshop on Explainable User Models and Personalized Systems (ExUM 2020).
UMAP
Cataldo Musto, Nava Tintarev, Oana Inel, Marco Polignano, Giovanni Semeraro, Jürgen Ziegler
2020 — conf
You Do Not Decide for Me! Evaluating Explainable Group Aggregation Strategies for Tourism.
HT
Shabnam Najafian, Daniel Herzog, Sihang Qiu, Oana Inel, Nava Tintarev
2019 J jnl
A methodology for creating and validating psychological stories for conveying and measuring psychological traits.
User Model. User Adapt. Interact.
Kirsten A. Smith, Matt Dennis, Judith Masthoff, Nava Tintarev
2019 A conf
ContextPlay: Evaluating User Control for Context-Aware Music Recommendation.
UMAP
Yucheng Jin, Nyi Nyi Htun, Nava Tintarev, Katrien Verbert
2019 — conf
Reading News with a Purpose: Explaining User Profiles for Self-Actualization.
UMAP (Adjunct Publication)
Emily Sullivan, Dimitrios Bountouridis, Jaron Harambam, Shabnam Najafian, Felicia Loecherbach, Mykola Makhortykh, Domokos Kelen, Daricia Wilkinson, David Graus, Nava Tintarev
2019 — conf
SIREN: A Simulation Framework for Understanding the Effects of Recommender Systems in Online News Environments.
FAT
Dimitrios Bountouridis, Jaron Harambam, Mykola Makhortykh, Mónica Marrero, Nava Tintarev, Claudia Hauff
2019 — conf
UMAP 2019 Workshop on Explainable and Holistic User Modeling (ExHUM) Chairs' Welcome & Organization.
UMAP (Adjunct Publication)
Cataldo Musto, Amon Rapp, Federica Cena, Frank Hopfgartner, Judy Kay, Aonghus Lawlor, Pasquale Lops, Giovanni Semeraro, Nava Tintarev
2018 — conf
A Diversity Adjusting Strategy with Personality for Music Recommendation.
IntRS@RecSys
Feng Lu, Nava Tintarev
2018 — conf
Digitally Scaffolding Debate in the Classroom.
CHI Extended Abstracts
Adrian Holzer, Nava Tintarev, Samuel Bendahan, Bruno Kocher, Shane Greenup, Denis Gillet
2018 A conf
Effects of Individual Traits on Diversity-Aware Music Recommender User Interfaces.
UMAP
Yucheng Jin, Nava Tintarev, Katrien Verbert
2018 A conf
Effects of personal characteristics on music recommender systems with different levels of controllability.
RecSys
Yucheng Jin, Nava Tintarev, Katrien Verbert
2018 J jnl
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
Nicola Ferro, Norbert Fuhr, Gregory Grefenstette, Joseph A. Konstan, Pablo Castells, Elizabeth M. Daly, Thierry Declerck, Michael D. Ekstrand, Werner Geyer, Julio Gonzalo, Tsvi Kuflik, Krister Lindén, Bernardo Magnini, Jian-Yun Nie, Raffaele Perego, Bracha Shapira, Ian Soboroff, Nava Tintarev, Karin Verspoor, Martijn C. Willemsen, Justin Zobel
2018 — conf
Generating Consensus Explanations for Group Recommendations: an exploratory study.
UMAP (Adjunct Publication)
Shabnam Najafian, Nava Tintarev
2018 Misc conf
Knowing the unknown: visualising consumption blind-spots in recommender systems.
SAC
Nava Tintarev, Shahin Rostami, Barry Smyth
2018 — conf
MovieTweeters: An Interactive Interface to Improve Recommendation Novelty.
IntRS@RecSys
Ishan Ghanmode, Nava Tintarev
2018 — conf
Same, Same, but Different: Algorithmic Diversification of Viewpoints in News.
UMAP (Adjunct Publication)
Nava Tintarev, Emily Sullivan, Dror Guldin, Sihang Qiu, Daan Odijk
2018 J jnl
The Dagstuhl Perspectives Workshop on Performance Modeling and Prediction.
SIGIR Forum
Nicola Ferro, Norbert Fuhr, Gregory Grefenstette, Joseph A. Konstan, Pablo Castells, Elizabeth M. Daly, Thierry Declerck, Michael D. Ekstrand, Werner Geyer, Julio Gonzalo, Tsvi Kuflik, Krister Lindén, Bernardo Magnini, Jian-Yun Nie, Raffaele Perego, Bracha Shapira, Ian Soboroff, Nava Tintarev, Karin Verspoor, Martijn C. Willemsen, Justin Zobel
2018 — conf
TourExplain: A Crowdsourcing Pipeline for Generating Explanations for Groups of Tourists.
RecTour@RecSys
Öykü Kapcak, Simone Spagnoli, Vincent Robbemond, Soumitri Vadali, Shabnam Najafian, Nava Tintarev
2018 — conf
Using Visualizations to Encourage Blind-Spot Exploration.
IntRS@RecSys
Jayachithra Kumar, Nava Tintarev
2017 J jnl
Ephemeral Context to Support Robust and Diverse Music Recommendations.
CoRR
Pavel Kucherbaev, Nava Tintarev, Carlos Rodríguez
2017 — conf
Memorability of Semantically Grouped Online Reviews.
SEMANTiCS (Posters & Demos)
Mengmeng Ye, Christoph Lofi, Nava Tintarev
2017 — ed.
Proceedings of the 4th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2017), Como, Italy, August 27, 2017.
IntRS
Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Nava Tintarev, Martijn C. Willemsen
2017 A conf
RecSys'17 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems.
RecSys
Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Nava Tintarev, Martijn C. Willemsen
2017 A conf
Sequences of Diverse Song Recommendations: An Exploratory Study in a Commercial System.
UMAP
Nava Tintarev, Christoph Lofi, Cynthia C. S. Liem
2017 — conf
Towards Analogy-based Recommendation: Benchmarking of Perceived Analogy Semantics.
ComplexRec@RecSys
Christoph Lofi, Nava Tintarev
2016 — conf
Expressing Emotions as Emoticons for Online Intelligent Agents.
BCS HCI
Kirsten A. Smith, Judith Masthoff, Nava Tintarev
2016 J jnl
Introduction to the Special Issue on Human Interaction with Artificial Advice Givers.
ACM Trans. Interact. Intell. Syst.
Nava Tintarev, John O'Donovan, Alexander Felfernig
2016 B conf
Natural language generation and fuzzy sets: An exploratory study on geographical referring expression generation.
FUZZ-IEEE
Alejandro Ramos-Soto, Nava Tintarev, Rodrigo de Oliveira, Ehud Reiter, Kees van Deemter
2016 J jnl
Personal storytelling: Using Natural Language Generation for children with complex communication needs, in the wild...
Int. J. Hum. Comput. Stud.
Nava Tintarev, Ehud Reiter, Rolf Black, Annalu Waller, Joe Reddington
2016 — ed.
Proceedings of the Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2016), Boston, MA, USA, September 16, 2016.
IntRS@RecSys
Peter Brusilovsky, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Nava Tintarev, Martijn C. Willemsen
2016 A conf
RecSys'16 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems.
RecSys
Peter Brusilovsky, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Nava Tintarev, Martijn C. Willemsen
2016 — conf
What am I not Seeing? An Interactive Approach to Social Content Discovery in Microblogs.
SocInfo (2)
Byungkyu Kang, Nava Tintarev, Tobias Höllerer, John O'Donovan
2015 — conf
Adapting Emotional Support to Personality for Carers Experiencing Stress.
UMAP Workshops
Kirsten A. Smith, Judith Masthoff, Nava Tintarev, Wendy Moncur
2015 — conf
Benefits and Risks of Emphasis Adaptation in Study Workflows.
UMAP Workshops
Nava Tintarev, Matt Green, Judith Masthoff, Frouke Hermens
2015 — ch.
Explaining Recommendations: Design and Evaluation.
Recommender Systems Handbook
Nava Tintarev, Judith Masthoff
2015 — conf
How Can Skin Check Reminders be Personalised to Patient Conscientiousness?
UMAP Workshops
Matt Dennis, Kirsten A. Smith, Judith Masthoff, Nava Tintarev
2015 — conf
Inspection Mechanisms for Community-based Content Discovery in Microblogs.
IntRS@RecSys
Nava Tintarev, Byungkyu Kang, Tobias Höllerer, John O'Donovan
2015 A conf
Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (#IntRS).
RecSys
John O'Donovan, Nava Tintarev, Alexander Felfernig, Peter Brusilovsky, Giovanni Semeraro, Pasquale Lops
2015 — ed.
Posters, Demos, Late-breaking Results and Workshop Proceedings of the 23rd Conference on User Modeling, Adaptation, and Personalization (UMAP 2015), Dublin, Ireland, June 29 - July 3, 2015.
UMAP Workshops
Alexandra I. Cristea, Judith Masthoff, Alan Said, Nava Tintarev
2015 — ed.
Proceedings of the Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, IntRS 2015, co-located with ACM Conference on Recommender Systems (RecSys 2015), Vienna, Austria, September 19, 2015.
IntRS@RecSys
John O'Donovan, Alexander Felfernig, Nava Tintarev, Peter Brusilovsky, Giovanni Semeraro, Pasquale Lops
2014 — conf
Adaptive Visualization of Plans.
UMAP Workshops
Nava Tintarev, Roman Kutlák, Judith Masthoff, Kees van Deemter, Nir Oren, Wamberto Weber Vasconcelos
2014 — conf
Demo: making plans scrutable with argumentation and natural language generation.
IUI Companion
Nava Tintarev, Roman Kutlák
2014 A conf
Formal Arguments, Preferences, and Natural Language Interfaces to Humans: an Empirical Evaluation.
ECAI
Federico Cerutti, Nava Tintarev, Nir Oren
2014 — ch.
Natural language generation for augmentative and assistive technologies.
Natural Language Generation in Interactive Systems
Nava Tintarev, Ehud Reiter, Rolf Black, Annalu Waller
2014 A conf
RecSys'14 joint workshop on interfaces and human decision making for recommender systems.
RecSys
Nava Tintarev, John O'Donovan, Peter Brusilovsky, Alexander Felfernig, Giovanni Semeraro, Pasquale Lops
2014 J jnl
The development and evaluation of an emotional support algorithm for carers.
Intelligenza Artificiale
Kirsten A. Smith, Judith Masthoff, Nava Tintarev, Wendy Moncur
2013 A conf
Adapting Recommendation Diversity to Openness to Experience: A Study of Human Behaviour.
UMAP
Nava Tintarev, Matt Dennis, Judith Masthoff
2013 A conf
Being Confident about the Quality of the Predictions in Recommender Systems.
ECIR
Sergio Cleger-Tamayo, Juan M. Fernández-Luna, Juan F. Huete, Nava Tintarev
2012 J jnl
Evaluating the effectiveness of explanations for recommender systems - Methodological issues and empirical studies on the impact of personalization.
User Model. User Adapt. Interact.
Nava Tintarev, Judith Masthoff
2012 B conf
MinkApp: Generating Spatio-temporal Summaries for Nature Conservation Volunteers.
INLG
Nava Tintarev, Yolanda Melero, Somayajulu Sripada, Elizabeth Tait, René van der Wal, Chris Mellish
2012 A conf
RecSys'12 workshop on interfaces for recommender systems (InterfaceRS'12).
RecSys
Nava Tintarev, Rong Hu, Pearl Pu
2011 A conf
A mobile phone based personal narrative system.
ASSETS
Rolf Black, Annalu Waller, Nava Tintarev, Ehud Reiter, Joseph Reddington
2011 A conf
Automatically generating stories from sensor data.
IUI
Joseph Reddington, Nava Tintarev
2011 — ch.
Designing and Evaluating Explanations for Recommender Systems.
Recommender Systems Handbook
Nava Tintarev, Judith Masthoff
2011 — ed.
Explanation-aware Computing, Papers from the 2011 IJCAI Workshop, Barcelona, Spain, July 16-17, 2011
ExaCt
Thomas Roth-Berghofer, Nava Tintarev, David B. Leake
2011 — conf
Organizing Committee / Preface.
ExaCt
Thomas Roth-Berghofer, Nava Tintarev, David B. Leake
2010 — ed.
Explanation-aware Computing, Papers from the 2010 ECAI Workshop, Lisbon, Portugal, August 16, 2010
ExaCt
Thomas Roth-Berghofer, Nava Tintarev, David B. Leake, Daniel Bahls
2010 — conf
Off the beaten track: a mobile field study exploring the long tail of tourist recommendations.
Mobile HCI
Nava Tintarev, Ana Flores, Xavier Amatriain
2010 — conf
Organizing Committee / Preface.
ExaCt
Thomas Roth-Berghofer, Nava Tintarev, David B. Leake, Daniel Bahls
2010 — conf
Using NLG and Sensors to Support Personal Narrative for Children with Complex Communication Needs.
SLPAT@NAACL
Rolf Black, Joseph Reddington, Ehud Reiter, Nava Tintarev, Annalu Waller
2009 — —
Explaining recommendations.
Nava Tintarev
2009 — ed.
Explanation-aware Computing, Papers from the 2009 IJCAI Workshop, Pasadena, California , USA, July 11-12, 2009
ExaCt
Thomas Roth-Berghofer, Nava Tintarev, David B. Leake
2009 — conf
Organizing Committee / Preface.
ExaCt
Thomas Roth-Berghofer, Nava Tintarev, David B. Leake
2009 A conf
Rate it again: increasing recommendation accuracy by user re-rating.
RecSys
Xavier Amatriain, Josep M. Pujol, Nava Tintarev, Nuria Oliver
2008 — conf
The Effectiveness of Personalized Movie Explanations: An Experiment Using Commercial Meta-data.
AH
Nava Tintarev, Judith Masthoff
2007 — conf
A Survey of Explanations in Recommender Systems.
ICDE Workshops
Nava Tintarev, Judith Masthoff
2007 A conf
Effective explanations of recommendations: user-centered design.
RecSys
Nava Tintarev, Judith Masthoff
2007 — conf
Explaining Recommendations.
User Modeling
Nava Tintarev
2007 A conf
Explanations of recommendations.
RecSys
Nava Tintarev