Nava Tintarev

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 97

Top Venues

CoRR

UMAP (Adjunct Publication)

RecSys

UMAP

University of Aberdeen, UK (PHD)

Education History

University of Aberdeen, UK

PHD

Publications

Federico Maria Cau, Nava Tintarev
Navigating the Thin Line: Examining User Behavior in Search to Detect Engagement and Backfire Effects. ECIR (4) (2024)
Francesco Barile, Federico Maria Cau, Nava Tintarev
A Preliminary Study of the Impact of Personality on Satisfaction in Group Contexts. UMAP (Adjunct Publication) (2024)
Johannes Kruse, Lien Michiels, Alain Starke, Nava Tintarev, Sanne Vrijenhoek
NORMalize: A Tutorial on the Normative Design and Evaluation of Information Access Systems. CHIIR (2024)
Francesco Barile, Federico Maria Cau, Nava Tintarev
A Preliminary Analysis on Self and Peer Evaluation of Personality Models for Recommender Systems. UMAP (Adjunct Publication) (2024)
Alisa Rieger, Tim Draws, Mariët Theune, Nava Tintarev
Nudges to Mitigate Confirmation Bias during Web Search on Debated Topics: Support vs. Manipulation. ACM Trans. Web 18 (2) (2024)
Shabnam Najafian, Geoff Musick, Bart P. Knijnenburg, Nava Tintarev
How do people make decisions in disclosing personal information in tourism group recommendations in competitive versus cooperative conditions? User Model. User Adapt. Interact. 34 (3) (2024)
Francesco Barile, Tim Draws, Oana Inel, Alisa Rieger, Shabnam Najafian, Amir Ebrahimi Fard, Rishav Hada, Nava Tintarev
Evaluating explainable social choice-based aggregation strategies for group recommendation. User Model. User Adapt. Interact. 34 (1) (2024)
Federico Maria Cau, Nava Tintarev
Navigating the Thin Line: Examining User Behavior in Search to Detect Engagement and Backfire Effects. CoRR (2024)
Nava Tintarev, Bart P. Knijnenburg, Martijn C. Willemsen
Measuring the benefit of increased transparency and control in news recommendation. AI Mag. 45 (2) (2024)
Zhangyi Wu, Tim Draws, Federico Cau, Francesco Barile, Alisa Rieger, Nava Tintarev
Explaining Search Result Stances to Opinionated People. xAI (2) (2023)
Zhangyi Wu, Tim Draws, Federico Cau, Francesco Barile, Alisa Rieger, Nava Tintarev
Explaining Search Result Stances to Opinionated People. CoRR (2023)
Tim Draws, Nirmal Roy, Oana Inel, Alisa Rieger, Rishav Hada, Mehmet Orcun Yalcin, Benjamin Timmermans, Nava Tintarev
Viewpoint Diversity in Search Results. ECIR (1) (2023)
Mireia Yurrita, Tim Draws, Agathe Balayn, Dave Murray-Rust, Nava Tintarev, Alessandro Bozzon
Disentangling Fairness Perceptions in Algorithmic Decision-Making: the Effects of Explanations, Human Oversight, and Contestability. CHI (2023)
Roan Schellingerhout, Francesco Barile, Nava Tintarev
A Co-design Study for Multi-Stakeholder Job Recommender System Explanations. CoRR (2023)
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
Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education. SIGIR Forum 57 (1) (2023)
Federico Maria Cau, Hanna Hauptmann, Lucio Davide Spano, Nava Tintarev
Effects of AI and Logic-Style Explanations on Users' Decisions Under Different Levels of Uncertainty. ACM Trans. Interact. Intell. Syst. 13 (4) (2023)
Federico Maria Cau, Hanna Hauptmann, Lucio Davide Spano, Nava Tintarev
Supporting High-Uncertainty Decisions through AI and Logic-Style Explanations. IUI (2023)
Roan Schellingerhout, Francesco Barile, Nava Tintarev
A Co-design Study for Multi-stakeholder Job Recommender System Explanations. xAI (2) (2023)
Sanne Vrijenhoek, Lien Michiels, Johannes Kruse, Alain Starke, Nava Tintarev, Jordi Viader Guerrero
NORMalize: The First Workshop on Normative Design and Evaluation of Recommender Systems. RecSys (2023)
Rishav Hada, Amir Ebrahimi Fard, Sarah Shugars, Federico Bianchi, Patricia Rossini, Dirk Hovy, Rebekah Tromble, Nava Tintarev
Beyond Digital "Echo Chambers": The Role of Viewpoint Diversity in Political Discussion. WSDM (2023)
Adarsa Sivaprasad, Ehud Reiter, Nava Tintarev, Nir Oren
Evaluation of Human-Understandability of Global Model Explanations using Decision Tree. CoRR (2023)
Tim Draws, Karthikeyan Natesan Ramamurthy, Ioana Baldini, Amit Dhurandhar, Inkit Padhi, Benjamin Timmermans, Nava Tintarev
Explainable Cross-Topic Stance Detection for Search Results. CHIIR (2023)
Adarsa Sivaprasad, Ehud Reiter, Nava Tintarev, Nir Oren
Evaluation of Human-Understandability of Global Model Explanations Using Decision Tree. ECAI Workshops (1) (2023)
Alisa Rieger, Frank Bredius, Nava Tintarev, Maria Soledad Pera
Searching for the Whole Truth: Harnessing the Power of Intellectual Humility to Boost Better Search on Debated Topics. CHI Extended Abstracts (2023)
Tim Draws, Oana Inel, Nava Tintarev, Christian Baden, Benjamin Timmermans
Comprehensive Viewpoint Representations for a Deeper Understanding of User Interactions With Debated Topics. CHIIR (2022)
Tommaso Di Noia, Nava Tintarev, Panagiota Fatourou, Markus Schedl
Recommender systems under European AI regulations. Commun. ACM 65 (4) (2022)
Alisa Rieger, Qurat-ul-ain Shaheen, Carles Sierra, Mariët Theune, Nava Tintarev
Towards Healthy Engagement with Online Debates: An Investigation of Debate Summaries and Personalized Persuasive Suggestions. UMAP (Adjunct Publication) (2022)
Rishav Hada, Amir Ebrahimi Fard, Sarah Shugars, Federico Bianchi, Patricia Rossini, Dirk Hovy, Rebekah Tromble, Nava Tintarev
Beyond Digital "Echo Chambers": The Role of Viewpoint Diversity in Political Discussion. CoRR (2022)
Federico Bianchi, Stefanie Anja Hills, Patricia Rossini, Dirk Hovy, Rebekah Tromble, Nava Tintarev
"It's Not Just Hate": A Multi-Dimensional Perspective on Detecting Harmful Speech Online. CoRR (2022)
Federico Bianchi, Stefanie Anja Hills, Patricia Rossini, Dirk Hovy, Rebekah Tromble, Nava Tintarev
"It's Not Just Hate": A Multi-Dimensional Perspective on Detecting Harmful Speech Online. EMNLP (2022)
Abraham Bernstein, Claes H. de Vreese, Natali Helberger, Wolfgang Schulz, Katharina Anna 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
Diversity in News Recommendation (Dagstuhl Perspectives Workshop 19482). Dagstuhl Manifestos 9 (1) (2021)
Thi Ngoc Trang Tran, Alexander Felfernig, Nava Tintarev
Humanized Recommender Systems: State-of-the-art and Research Issues. ACM Trans. Interact. Intell. Syst. 11 (2) (2021)
Mats Mulder, Oana Inel, Jasper Oosterman, Nava Tintarev
Operationalizing Framing to Support Multiperspective Recommendations of Opinion Pieces. FAccT (2021)
Tim Draws, Nava Tintarev, Ujwal Gadiraju, Alessandro Bozzon, Benjamin Timmermans
This Is Not What We Ordered: Exploring Why Biased Search Result Rankings Affect User Attitudes on Debated Topics. SIGIR (2021)
Mats Mulder, Oana Inel, Jasper Oosterman, Nava Tintarev
Operationalizing Framing to Support MultiperspectiveRecommendations of Opinion Pieces. CoRR (2021)
Shabnam Najafian, Amra Delic, Marko Tkalcic, Nava Tintarev
Factors Influencing Privacy Concern for Explanations of Group Recommendation. UMAP (2021)
Tim Draws, Zoltán Szlávik, Benjamin Timmermans, Nava Tintarev, Kush R. Varshney, Michael Hind
Disparate Impact Diminishes Consumer Trust Even for Advantaged Users. CoRR (2021)
Tim Draws, Alisa Rieger, Oana Inel, Ujwal Gadiraju, Nava Tintarev
A Checklist to Combat Cognitive Biases in Crowdsourcing. HCOMP (2021)
Alexander Felfernig, Nava Tintarev, Thi Ngoc Trang Tran, Martin Stettinger
Designing Explanations for Group Recommender Systems. CoRR (2021)
Tim Draws, Zoltán Szlávik, Benjamin Timmermans, Nava Tintarev, Kush R. Varshney, Michael Hind
Disparate Impact Diminishes Consumer Trust Even for Advantaged Users. PERSUASIVE (2021)
Cataldo Musto, Nava Tintarev, Oana Inel, Marco Polignano, Giovanni Semeraro, Jürgen Ziegler
Workshop on Explainable User Models and Personalized Systems (ExUM 2021). UMAP (Adjunct Publication) (2021)
Shabnam Najafian, Tim Draws, Francesco Barile, Marko Tkalcic, Jie Yang, Nava Tintarev
Exploring User Concerns about Disclosing Location and Emotion Information in Group Recommendations. HT (2021)
Robin Burke, Michael D. Ekstrand, Nava Tintarev, Julita Vassileva
Preface to the special issue on fair, accountable, and transparent recommender systems. User Model. User Adapt. Interact. 31 (3) (2021)
Tim Draws, Nava Tintarev, Ujwal Gadiraju
Assessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics. SIGKDD Explor. 23 (1) (2021)
Alisa Rieger, Tim Draws, Mariët Theune, Nava Tintarev
This Item Might Reinforce Your Opinion: Obfuscation and Labeling of Search Results to Mitigate Confirmation Bias. HT (2021)
Oana Inel, Tomislav Duricic, Harmanpreet Kaur, Elisabeth Lex, Nava Tintarev
Design Implications for Explanations: A Case Study on Supporting Reflective Assessment of Potentially Misleading Videos. Frontiers Artif. Intell. 4 (2021)
Francesco Barile, Shabnam Najafian, Tim Draws, Oana Inel, Alisa Rieger, Rishav Hada, Nava Tintarev
Toward Benchmarking Group Explanations: Evaluating the Effect of Aggregation Strategies versus Explanation. Perspectives@RecSys (2021)
Shabnam Najafian, Daniel Herzog, Sihang Qiu, Oana Inel, Nava Tintarev
You Do Not Decide for Me! Evaluating Explainable Group Aggregation Strategies for Tourism. HT (2020)
Vladimir Kovalenko, Nava Tintarev, Evgeny Pasynkov, Christian Bird, Alberto Bacchelli
Does Reviewer Recommendation Help Developers? IEEE Trans. Software Eng. 46 (7) (2020)
Cataldo Musto, Nava Tintarev, Oana Inel, Marco Polignano, Giovanni Semeraro, Jürgen Ziegler
Workshop on Explainable User Models and Personalized Systems (ExUM 2020). UMAP (2020)
Alisa Rieger, Mariët Theune, Nava Tintarev
Toward Natural Language Mitigation Strategies for Cognitive Biases in Recommender Systems. NL4XAI@INGL (2020)
Tim Draws, Nava Tintarev, Ujwal Gadiraju, Alessandro Bozzon, Benjamin Timmermans
Assessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics. CoRR (2020)
Tim Draws, Jody Liu, Nava Tintarev
Helping users discover perspectives: Enhancing opinion mining with joint topic models. ICDM (Workshops) (2020)
Shabnam Najafian, Oana Inel, Nava Tintarev
Someone really wanted that song but it was not me!: Evaluating Which Information to Disclose in Explanations for Group Recommendations. IUI Companion (2020)
Abraham Bernstein, Claes H. de Vreese, Natali Helberger, Wolfgang Schulz, Katharina Anna 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
Diversity in News Recommendations. CoRR (2020)
Oana Inel, Nava Tintarev, Lora Aroyo
Eliciting User Preferences for Personalized Explanations for Video Summaries. CoRR (2020)
Federico Maria Cau, Lucio Davide Spano, Nava Tintarev
Considerations for Applying Logical Reasoning to Explain Neural Network Outputs. XAI.it@AI*IA (2020)
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
Interactive Natural Language Technology for Explainable Artificial Intelligence. TAILOR (2020)
Cataldo Musto, Nava Tintarev, Oana Inel, Marco Polignano, Giovanni Semeraro, Jürgen Ziegler
UMAP 2020 Workshop on Explainable User Models and Personalised Systems (ExUM) Chairs' Welcome & Organization. UMAP (Adjunct Publication) (2020)
Mesut Kaya, Derek G. Bridge, Nava Tintarev
Ensuring Fairness in Group Recommendations by Rank-Sensitive Balancing of Relevance. RecSys (2020)
Oana Inel, Nava Tintarev, Lora Aroyo
Eliciting User Preferences for Personalized Explanations for Video Summaries. UMAP (2020)
Tim Draws, Jody Liu, Nava Tintarev
Helping users discover perspectives: Enhancing opinion mining with joint topic models. CoRR (2020)
Yucheng Jin, Nava Tintarev, Nyi Nyi Htun, Katrien Verbert
Effects of personal characteristics in control-oriented user interfaces for music recommender systems. User Model. User Adapt. Interact. 30 (2) (2020)
Boning Gong, Mesut Kaya, Nava Tintarev
Contextual Personalized Re-Ranking of Music Recommendations through Audio Features. CoRR (2020)
Dimitrios Bountouridis, Jaron Harambam, Mykola Makhortykh, Mónica Marrero, Nava Tintarev, Claudia Hauff
SIREN: A Simulation Framework for Understanding the Effects of Recommender Systems in Online News Environments. FAT (2019)
Cataldo Musto, Amon Rapp, Federica Cena, Frank Hopfgartner, Judy Kay, Aonghus Lawlor, Pasquale Lops, Giovanni Semeraro, Nava Tintarev
UMAP 2019 Workshop on Explainable and Holistic User Modeling (ExHUM) Chairs' Welcome & Organization. UMAP (Adjunct Publication) (2019)
Yucheng Jin, Nyi Nyi Htun, Nava Tintarev, Katrien Verbert
ContextPlay: Evaluating User Control for Context-Aware Music Recommendation. UMAP (2019)
Kirsten A. Smith, Matt Dennis, Judith Masthoff, Nava Tintarev
A methodology for creating and validating psychological stories for conveying and measuring psychological traits. User Model. User Adapt. Interact. 29 (3) (2019)
Emily Sullivan, Dimitrios Bountouridis, Jaron Harambam, Shabnam Najafian, Felicia Loecherbach, Mykola Makhortykh, Domokos Kelen, Daricia Wilkinson, David Graus, Nava Tintarev
Reading News with a Purpose: Explaining User Profiles for Self-Actualization. UMAP (Adjunct Publication) (2019)
Adrian Holzer, Nava Tintarev, Samuel Bendahan, Bruno Kocher, Shane Greenup, Denis Gillet
Digitally Scaffolding Debate in the Classroom. CHI Extended Abstracts (2018)
Feng Lu, Nava Tintarev
A Diversity Adjusting Strategy with Personality for Music Recommendation. IntRS@RecSys (2018)
Yucheng Jin, Nava Tintarev, Katrien Verbert
Effects of personal characteristics on music recommender systems with different levels of controllability. RecSys (2018)
Ishan Ghanmode, Nava Tintarev
MovieTweeters: An Interactive Interface to Improve Recommendation Novelty. IntRS@RecSys (2018)
Nava Tintarev, Shahin Rostami, Barry Smyth
Knowing the unknown: visualising consumption blind-spots in recommender systems. SAC (2018)
Jayachithra Kumar, Nava Tintarev
Using Visualizations to Encourage Blind-Spot Exploration. IntRS@RecSys (2018)
Nava Tintarev, Emily Sullivan, Dror Guldin, Sihang Qiu, Daan Odijk
Same, Same, but Different: Algorithmic Diversification of Viewpoints in News. UMAP (Adjunct Publication) (2018)
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
The Dagstuhl Perspectives Workshop on Performance Modeling and Prediction. SIGIR Forum 52 (1) (2018)
Shabnam Najafian, Nava Tintarev
Generating Consensus Explanations for Group Recommendations: an exploratory study. UMAP (Adjunct Publication) (2018)
Yucheng Jin, Nava Tintarev, Katrien Verbert
Effects of Individual Traits on Diversity-Aware Music Recommender User Interfaces. UMAP (2018)
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
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 7 (1) (2018)
Öykü Kapcak, Simone Spagnoli, Vincent Robbemond, Soumitri Vadali, Shabnam Najafian, Nava Tintarev
TourExplain: A Crowdsourcing Pipeline for Generating Explanations for Groups of Tourists. RecTour@RecSys (2018)
Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Nava Tintarev, Martijn C. Willemsen
RecSys'17 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems. RecSys (2017)
Mengmeng Ye, Christoph Lofi, Nava Tintarev
Memorability of Semantically Grouped Online Reviews. SEMANTiCS Posters&Demos (2017)
Pavel Kucherbaev, Nava Tintarev, Carlos Rodríguez
Ephemeral Context to Support Robust and Diverse Music Recommendations. CoRR (2017)
Christoph Lofi, Nava Tintarev
Towards Analogy-based Recommendation: Benchmarking of Perceived Analogy Semantics. ComplexRec@RecSys (2017)
Nava Tintarev, Christoph Lofi, Cynthia C. S. Liem
Sequences of Diverse Song Recommendations: An Exploratory Study in a Commercial System. UMAP (2017)
Kirsten A. Smith, Judith Masthoff, Nava Tintarev
Expressing Emotions as Emoticons for Online Intelligent Agents. BCS HCI (2016)
Nava Tintarev, John O'Donovan, Alexander Felfernig
Introduction to the Special Issue on Human Interaction with Artificial Advice Givers. ACM Trans. Interact. Intell. Syst. 6 (4) (2016)
Alejandro Ramos-Soto, Nava Tintarev, Rodrigo de Oliveira, Ehud Reiter, Kees van Deemter
Natural language generation and fuzzy sets: An exploratory study on geographical referring expression generation. FUZZ-IEEE (2016)
Peter Brusilovsky, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Nava Tintarev, Martijn C. Willemsen
RecSys'16 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems. RecSys (2016)
Nava Tintarev, Ehud Reiter, Rolf Black, Annalu Waller, Joe Reddington
Personal storytelling: Using Natural Language Generation for children with complex communication needs, in the wild... Int. J. Hum. Comput. Stud. (2016)
Byungkyu Kang, Nava Tintarev, Tobias Höllerer, John O'Donovan
What am I not Seeing? An Interactive Approach to Social Content Discovery in Microblogs. SocInfo (2) (2016)
Nava Tintarev, Matt Green, Judith Masthoff, Frouke Hermens
Benefits and Risks of Emphasis Adaptation in Study Workflows. UMAP Workshops (2015)
Nava Tintarev, Byungkyu Kang, Tobias Höllerer, John O'Donovan
Inspection Mechanisms for Community-based Content Discovery in Microblogs. IntRS@RecSys (2015)
Matt Dennis, Kirsten A. Smith, Judith Masthoff, Nava Tintarev
How Can Skin Check Reminders be Personalised to Patient Conscientiousness? UMAP Workshops (2015)
John O'Donovan, Nava Tintarev, Alexander Felfernig, Peter Brusilovsky, Giovanni Semeraro, Pasquale Lops
Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (#IntRS). RecSys (2015)
Kirsten A. Smith, Judith Masthoff, Nava Tintarev, Wendy Moncur
Adapting Emotional Support to Personality for Carers Experiencing Stress. UMAP Workshops (2015)
Kirsten A. Smith, Judith Masthoff, Nava Tintarev, Wendy Moncur
The development and evaluation of an emotional support algorithm for carers. Intelligenza Artificiale 8 (2) (2014)
Nava Tintarev, Roman Kutlák
Demo: making plans scrutable with argumentation and natural language generation. IUI Companion (2014)
Nava Tintarev, Roman Kutlák, Judith Masthoff, Kees van Deemter, Nir Oren, Wamberto Weber Vasconcelos
Adaptive Visualization of Plans. UMAP Workshops (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nava Tintarev