| 2026 | WACV | A Little More Like This: Text-to-Image Retrieval with Vision-Language Models Using Relevance Feedback. | Bulat Khaertdinov, Mirela Popa, Nava Tintarev |
| 2025 | ECAI | Measuring Explanation Quality - A Path Forward. | Nava Tintarev |
| 2025 | ECIR | OKRA: An Explainable, Heterogeneous, Multi-stakeholder Job Recommender System. | Roan Schellingerhout, Francesco Barile, Nava Tintarev |
| 2025 | RecSys | VisualReF: Interactive Image Search Prototype with Visual Relevance Feedback. | Bulat Khaertdinov, Mirela Popa, Nava Tintarev |
| 2025 | RecSys | Consistent Explainers or Unreliable Narrators? Understanding LLM-generated Group Recommendations. | Cedric Waterschoot, Nava Tintarev, Francesco Barile |
| 2024 | CHIIR | NORMalize: A Tutorial on the Normative Design and Evaluation of Information Access Systems. | Johannes Kruse, Lien Michiels, Alain Starke, Nava Tintarev, Sanne Vrijenhoek |
| 2024 | ECIR | Navigating the Thin Line: Examining User Behavior in Search to Detect Engagement and Backfire Effects. | Federico Maria Cau, Nava Tintarev |
| 2024 | RecSys | NORMalize 2024: The Second Workshop on Normative Design and Evaluation of Recommender Systems. | Alain Starke, Sanne Vrijenhoek, Lien Michiels, Johannes Kruse, Nava Tintarev |
| 2023 | CHI | Searching for the Whole Truth: Harnessing the Power of Intellectual Humility to Boost Better Search on Debated Topics. | Alisa Rieger, Frank Bredius, Nava Tintarev, Maria Soledad Pera |
| 2023 | CHI | Disentangling Fairness Perceptions in Algorithmic Decision-Making: the Effects of Explanations, Human Oversight, and Contestability. | Mireia Yurrita, Tim Draws, Agathe Balayn, Dave Murray-Rust, Nava Tintarev, Alessandro Bozzon |
| 2023 | CHIIR | Explainable Cross-Topic Stance Detection for Search Results. | Tim Draws, Karthikeyan Natesan Ramamurthy, Ioana Baldini, Amit Dhurandhar, Inkit Padhi, Benjamin Timmermans, Nava Tintarev |
| 2023 | ECAI | Evaluation of Human-Understandability of Global Model Explanations Using Decision Tree. | Adarsa Sivaprasad, Ehud Reiter, Nava Tintarev, Nir Oren |
| 2023 | ECIR | Viewpoint Diversity in Search Results. | Tim Draws, Nirmal Roy, Oana Inel, Alisa Rieger, Rishav Hada, Mehmet Orcun Yalcin, Benjamin Timmermans, Nava Tintarev |
| 2023 | IUI | Supporting High-Uncertainty Decisions through AI and Logic-Style Explanations. | Federico Maria Cau, Hanna Hauptmann, Lucio Davide Spano, Nava Tintarev |
| 2023 | RecSys | NORMalize: The First Workshop on Normative Design and Evaluation of Recommender Systems. | Sanne Vrijenhoek, Lien Michiels, Johannes Kruse, Alain Starke, Nava Tintarev, Jordi Viader Guerrero |
| 2023 | WSDM | Beyond Digital "Echo Chambers": The Role of Viewpoint Diversity in Political Discussion. | Rishav Hada, Amir Ebrahimi Fard, Sarah Shugars, Federico Bianchi, Patrcia G. C. Rossini, Dirk Hovy, Rebekah Tromble, Nava Tintarev |
| 2022 | CHIIR | Comprehensive Viewpoint Representations for a Deeper Understanding of User Interactions With Debated Topics. | Tim Draws, Oana Inel, Nava Tintarev, Christian Baden, Benjamin Timmermans |
| 2022 | EMNLP | "It's Not Just Hate": A Multi-Dimensional Perspective on Detecting Harmful Speech Online. | Federico Bianchi, Stefanie Anja Hills, Patrcia G. C. Rossini, Dirk Hovy, Rebekah Tromble, Nava Tintarev |
| 2021 | HCOMP | A Checklist to Combat Cognitive Biases in Crowdsourcing. | Tim Draws, Alisa Rieger, Oana Inel, Ujwal Gadiraju, Nava Tintarev |
| 2021 | Persuasive | Disparate Impact Diminishes Consumer Trust Even for Advantaged Users. | Tim Draws, Zoltn Szlvik, Benjamin Timmermans, Nava Tintarev, Kush R. Varshney, Michael Hind |
| 2021 | RecSys | Toward Benchmarking Group Explanations: Evaluating the Effect of Aggregation Strategies versus Explanation. | Francesco Barile, Shabnam Najafian, Tim Draws, Oana Inel, Alisa Rieger, Rishav Hada, Nava Tintarev |
| 2021 | SIGIR | This Is Not What We Ordered: Exploring Why Biased Search Result Rankings Affect User Attitudes on Debated Topics. | Tim Draws, Nava Tintarev, Ujwal Gadiraju, Alessandro Bozzon, Benjamin Timmermans |
| 2020 | ICDM | Helping users discover perspectives: Enhancing opinion mining with joint topic models. | Tim Draws, Jody Liu, Nava Tintarev |
| 2020 | IUI | Someone really wanted that song but it was not me!: Evaluating Which Information to Disclose in Explanations for Group Recommendations. | Shabnam Najafian, Oana Inel, Nava Tintarev |
| 2020 | RecSys | Ensuring Fairness in Group Recommendations by Rank-Sensitive Balancing of Relevance. | Mesut Kaya, Derek G. Bridge, Nava Tintarev |
| 2018 | CHI | Digitally Scaffolding Debate in the Classroom. | Adrian Holzer, Nava Tintarev, Samuel Bendahan, Bruno Kocher, Shane Greenup, Denis Gillet |
| 2018 | RecSys | MovieTweeters: An Interactive Interface to Improve Recommendation Novelty. | Ishan Ghanmode, Nava Tintarev |
| 2018 | RecSys | Effects of personal characteristics on music recommender systems with different levels of controllability. | Yucheng Jin, Nava Tintarev, Katrien Verbert |
| 2018 | RecSys | TourExplain: A Crowdsourcing Pipeline for Generating Explanations for Groups of Tourists. | yk Kapcak, Simone Spagnoli, Vincent Robbemond, Soumitri Vadali, Shabnam Najafian, Nava Tintarev |
| 2018 | RecSys | Using Visualizations to Encourage Blind-Spot Exploration. | Jayachithra Kumar, Nava Tintarev |
| 2018 | RecSys | A Diversity Adjusting Strategy with Personality for Music Recommendation. | Feng Lu, Nava Tintarev |
| 2018 | SAC | Knowing the unknown: visualising consumption blind-spots in recommender systems. | Nava Tintarev, Shahin Rostami, Barry Smyth |
| 2017 | RecSys | RecSys'17 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems. | Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Nava Tintarev, Martijn C. Willemsen |
| 2017 | RecSys | Towards Analogy-based Recommendation: Benchmarking of Perceived Analogy Semantics. | Christoph Lofi, Nava Tintarev |
| 2016 | RecSys | RecSys'16 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems. | Peter Brusilovsky, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Nava Tintarev, Martijn C. Willemsen |
| 2015 | RecSys | Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (#IntRS). | John O'Donovan, Nava Tintarev, Alexander Felfernig, Peter Brusilovsky, Giovanni Semeraro, Pasquale Lops |
| 2015 | RecSys | Inspection Mechanisms for Community-based Content Discovery in Microblogs. | Nava Tintarev, Byungkyu Kang, Tobias Hllerer, John O'Donovan |
| 2014 | ECAI | Formal Arguments, Preferences, and Natural Language Interfaces to Humans: an Empirical Evaluation. | Federico Cerutti, Nava Tintarev, Nir Oren |
| 2014 | IUI | Demo: making plans scrutable with argumentation and natural language generation. | Nava Tintarev, Roman Kutlk |
| 2014 | RecSys | RecSys'14 joint workshop on interfaces and human decision making for recommender systems. | Nava Tintarev, John O'Donovan, Peter Brusilovsky, Alexander Felfernig, Giovanni Semeraro, Pasquale Lops |
| 2013 | ECIR | Being Confident about the Quality of the Predictions in Recommender Systems. | Sergio Cleger-Tamayo, Juan M. Fernndez-Luna, Juan F. Huete, Nava Tintarev |
| 2012 | INLG | MinkApp: Generating Spatio-temporal Summaries for Nature Conservation Volunteers. | Nava Tintarev, Yolanda Melero, Somayajulu Sripada, Elizabeth Tait, Ren van der Wal, Chris Mellish |
| 2012 | RecSys | RecSys'12 workshop on interfaces for recommender systems (InterfaceRS'12). | Nava Tintarev, Rong Hu, Pearl Pu |
| 2011 | ASSETS | A mobile phone based personal narrative system. | Rolf Black, Annalu Waller, Nava Tintarev, Ehud Reiter, Joseph Reddington |
| 2011 | IUI | Automatically generating stories from sensor data. | Joseph Reddington, Nava Tintarev |
| 2009 | RecSys | Rate it again: increasing recommendation accuracy by user re-rating. | Xavier Amatriain, Josep M. Pujol, Nava Tintarev, Nuria Oliver |
| 2007 | ICDE | A Survey of Explanations in Recommender Systems. | Nava Tintarev, Judith Masthoff |
| 2007 | RecSys | Explanations of recommendations. | Nava Tintarev |
| 2007 | RecSys | Effective explanations of recommendations: user-centered design. | Nava Tintarev, Judith Masthoff |