DDIS Publications

Current DDIS Publications

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Publications

2026
- Journal Article
  - Bachmann, F., van der Weijden, D., Sarasua Garmendia, C., & Bernstein, A. (2026). Estimating the Recommendation Certainty in Candidate‐Based Voting Advice Applications Politics and Governance, 14, 11256. https://doi.org/10.17645/pag.11256
2025
- Journal Article
  - Wardatzky, K., Inel, O., Rossetto, L., & Bernstein, A. (2025). Whom do Explanations Serve? A Systematic Literature Survey of User Characteristics in Explainable Recommender Systems Evaluation ACM Transactions on Recommender Systems, 3, 1–35. https://doi.org/10.1145/3716394
  - Ruosch, F., Sarasua Garmendia, C., & Bernstein, A. (2025). Mining Inter-Document Argument Structures in Scientific Papers for an Argument Web Transactions on Graph Data and Knowledge (TGDK), 3, 4:1-4:33. https://doi.org/10.4230/TGDK.3.3.4
  - Ramasamy, D., Sarasua Garmendia, C., & Bernstein, A. (2025). AI support for data scientists: An empirical study on workflow and alternative code recommendations Empirical Software Engineering, 30, 133. https://doi.org/10.1007/s10664-025-10622-4
  - Willis, N., Bernstein, A., & Rossetto, L. (2025). Effects of Human Cognition-Inspired Task Presentation on Interactive Video Retrieval ACM Transactions on Multimedia Computing Communications and Applications, 21, 1–25. https://doi.org/10.1145/3727983
  - Bachmann, F., Van Der Weijden, D., Heitz, L., Sarasua Garmendia, C., & Bernstein, A. (2025). Adaptive political surveys and GPT-4: Tackling the cold start problem with simulated user interactions PLoS ONE, 20, e0322690. https://doi.org/10.1371/journal.pone.0322690
  - Sauter, L., Gasser, R., Schuldt, H., Bernstein, A., & Rossetto, L. (2025). Performance Evaluation in Multimedia Retrieval ACM Transactions on Multimedia Computing Communications and Applications, 21, 1–23. https://doi.org/10.1145/3678881
  - Katsiuba, D., Dolata, M., & Schwabe, G. (2025). Joining forces for online feedback management: policy recommendations for human–AI collaboration Data & Policy, 7, e35. https://doi.org/10.1017/dap.2025.13
- Conference or Workshop item
  - Kottekulam Vasu, R., Basu, C., Dalvi Mishra, B., Sarasua Garmendia, C., Peter Clark, & Bernstein, A. (2025). HypER: Literature-grounded Hypothesis Generation and Distillation with Provenance 25425–25450. https://doi.org/10.18653/v1/2025.emnlp-main.1292
  - Heitz, L., Rossetto, L., Kille, B., Lommatzsch, A., Elahi, M., & Dang Nguyen, D. T. (2025). NewsImages in MediaEval 2025 – Comparing Image Retrieval and Generation for News Articles (S. Hicks, M. G. Constantin, & M. Larson, Eds.). CEUR-WS. https://2025.multimediaeval.com/paper1.pdf
  - Mamie, N., & Rao, S. X. (2025). The Society of HiveMind: Multi-agent Optimization of Foundation Model Swarms to Unlock the Potential of Collective Intelligence (Y. Tan & Y. Shi, Eds.; No. 16011; pp. 243–254). Springer (Bücher). https://doi.org/10.1007/978-981-95-0982-9_20
  - Wardatzky, K., Inel, O., & Bernstein, A. (2025, September 26). Toward Operationalizing a Comprehensive Evaluation Framework for Recommender Systems Explanations Beyond Algorithms: Reclaiming the Interdisciplinary Roots of Recommender Systems Workshop (BEYOND 2025), Prague, Czech Republic. https://ceur-ws.org/Vol-4063/paper2.pdf
  - Heitz, L., Li, R., Inel, O., & Bernstein, A. (2025). Informfully Recommenders - Reproducibility Framework for Diversity-aware Intra-session Recommendations 792–801. https://doi.org/10.1145/3705328.3748148
  - Li, R., Heitz, L., Inel, O., & Bernstein, A. (2025). D-RDW: Diversity-Driven Random Walks for News Recommender Systems 558–563. https://doi.org/10.1145/3705328.3748016
  - Wang, R., Zhang, Z., Rossetto, L., Ruosch, F., & Bernstein, A. (2025). NLQxform-UI: An Interactive and Intuitive Scholarly Question Answering System 3990–3993. https://doi.org/10.1145/3726302.3730153
  - Ruosch, F., Vasu, R., Wang, R., Rossetto, L., & Bernstein, A. (2025). An Extended Evaluation of Single-Label Multi-modal Field of Research Classification Using a Taxonomy-Based Metric Lecture Notes in Computer Science, 167–182. https://doi.org/10.1007/978-3-031-78955-7_16
  - Specker, R. J., Bucher, A., Katsiuba, D., Dolata, M., & Schwabe, G. (2025). An Extra Brain In The Room: Enhancing Large Group Brainstorming With An Autonomous AI-Agent (No. 15). ECIS2025-1576. https://aisel.aisnet.org/ecis2025/human_ai/human_ai/15
- Dissertation
  - Ruosch, F. P. (2025). Connecting the dots: toward the argument Web of Science (Dissertation, University of Zurich) https://doi.org/10.5167/uzh-277035
  - Ruosch, F. P. (2025). Connecting the dots: toward the Argument Web of Science (Dissertation, University of Zurich)
- Scientific Publication in Electronic Form
  - Bernstein, A., Carrasquilla Alvarez, J., Christen, M., Del Rio, L., Diamanti, E., Hempel, C., Leuenberger, M., Lukic, D., Maletinsky, P., Neupert, T., Nurgalieva, N., Potts, P., Schaffner, C., Thew, R., Tomm, N., & Wolf-Bauwens, M. L. A. (2025). Recommendations for a Future with Quantum Technology https://perma.cc/QE64-DV4M
2024
- Journal Article
  - Parian-Scherb, M., Uhrig, P., Rossetto, L., Dupont, S., & Schuldt, H. (2024). Gesture retrieval and its application to the study of multimodal communication International Journal on Digital Libraries, 25, 585–601. https://doi.org/10.1007/s00799-023-00367-0
  - Gilardi, F., Kasirzadeh, A., Bernstein, A., Staab, S., & Gohdes, A. (2024). We need to understand the effect of narratives about generative AI Nature Human Behaviour, 8, 2251–2252. https://doi.org/10.1038/s41562-024-02026-z
  - Vadicamo, L., Arnold, R., Bailer, W., Carrara, F., Gurrin, C., Hezel, N., Li, X., Lokoc, J., Lubos, S., Ma, Z., Messina, N., Nguyen, T.-N., Peska, L., Rossetto, L., Sauter, L., Schöffmann, K., Spiess, F., Tran, M.-T., & Vrochidis, S. (2024). Evaluating Performance and Trends in Interactive Video Retrieval: Insights From the 12th VBS Competition IEEE Access, 12, 79342–79366. https://doi.org/10.1109/access.2024.3405638
  - Tolmeijer, S., Arpatzoglou, V., Rossetto, L., & Bernstein, A. (2024). Trolleys, crashes, and perception - a survey on how current autonomous vehicles debates invoke problematic expectations AI and Ethics, 4, 473–484. https://doi.org/10.1007/s43681-023-00284-7
  - Barile, F., Draws, T., Inel, O., Rieger, A., Najafian, S., Ebrahimi Fard, A., Hada, R., & Tintarev, N. (2024). Evaluating explainable social choice-based aggregation strategies for group recommendation User Modeling and User-Adapted Interaction, 34, 1–58. https://doi.org/10.1007/s11257-023-09363-0
  - Willi, J., Bernstein, A., & Rossetto, L. (2024). Unified Multimedia Segmentation - A Comprehensive Model for URI-based Media Segment Representation Transactions on Graph Data and Knowledge (TGDK), 2, 1–34. https://doi.org/10.4230/TGDK.2.3.1
  - Mavridis, P., Inel, O., Wilcke, X., Makhortykh, M., de Jong, M., Mazepus, H., Dimitrova, A., de Vos, J., Bozzon, A., & Kuhn, T. (2024). Framing is Mightier than the Sword: Detection of Episodic and Thematic Framing in News Media Human Computation, 11, 1–28. https://doi.org/10.15346/hc.v11i1.1
- Book Section
  - Ruosch, F., Sarasua Garmendia, C., Reed, C., & Bernstein, A. (2024). Toward the Argument Web of Science In C. Reed, M. Thimm, & T. Rienstra (Eds.), Computational Models of Argument: Proceedings of COMMA 2024 (No. 388; pp. 365–366). I O S Press. https://doi.org/10.3233/faia240342
  - Gasser, R., Arnold, R., Faber, F., Schuldt, H., Waltenspül, R., & Rossetto, L. (2024). A New Retrieval Engine for Vitrivr In S. Rudinac, A. Hanjalic, C. C. S. Liem, M. Worring, B. þóR Jónsson, B. Liu, & Y. Yamakata (Eds.), MultiMedia Modeling - 30th International Conference (No. 14557; pp. 324–331). Springer. https://doi.org/10.1007/978-3-031-53302-0_28
  - Sauter, L., Bachmann, T., Schuldt, H., & Rossetto, L. (2024). Augmented Reality Photo Presentation and Content-Based Image Retrieval on Mobile Devices with AR-Explorer In S. Rudinac, A. Hanjalic, C. C. S. Liem, M. Worring, B. T. Jonsson, B. Liu, & Y. Yamakata (Eds.), MultiMedia Modeling - 30th International Conference (No. 14557; pp. 265–270). Springer. https://doi.org/10.1007/978-3-031-53302-0_20
  - Spiess, F., Rossetto, L., & Schuldt, H. (2024). Exploring Multimedia Vector Spaces with vitrivr-VR In S. Rudinac, A. Hanjalic, C. C. S. Liem, M. Worring, B. þóR Jónsson, B. Liu, & Y. Yamakata (Eds.), MultiMedia Modeling - 30th International Conference (No. 14557; pp. 317–323). Springer. https://doi.org/10.1007/978-3-031-53302-0_27
  - Ruosch, F., Lawrence, J., Sarasua Garmendia, C., & Bernstein, A. (2024). A Unified Benchmark for Argument Mining In C. Reed, M. Thimm, & T. Rienstra (Eds.), Computational Models of Argument: Proceedings of COMMA 2024 (No. 388; pp. 363–364). I O S Press. https://doi.org/10.3233/faia240341
  - Ruosch, F., Watter, J., Sarasua, C., & Bernstein, A. (2024). Documents with Integrated Visually Annotated Arguments In C. Reed, M. Thimm, & T. Rienstra (Eds.), Computational models of argument: Proceedings of COMMA 2024 (No. 388; pp. 367–368). I O S Press. https://doi.org/10.3233/faia240343
- Conference or Workshop item
  - Vasu, R., Sarasua, C., & Bernstein, A. (2024). SciHyp: A Fine-Grained Dataset Describing Hypotheses and Their Components from Scientific Articles Lecture Notes in Computer Science, 134–152. https://doi.org/10.1007/978-3-031-77847-6_8
  - Rossetto, L., Sarasua, C., & Bernstein, A. (2024). Estimating the Semantic Density of Visual Media 4601–4609. https://doi.org/10.1145/3664647.3681594
  - Wardatzky, K. (2024). Evaluating the Pros and Cons of Recommender Systems Explanations Proceedings of the ACM Conference on Recommender Systems, 1302–1307. https://doi.org/10.1145/3640457.3688011
  - Heitz, L., Mattis, N., Inel, O., & van Atteveldt, W. (2024). IDEA – Informfully Dataset with Enhanced Attributes CEUR Workshop Proceedings, 1–12. https://ceur-ws.org/Vol-3898/paper1.pdf
  - Heitz, L., Vrijenhoek, S., & Inel, O. (2024). Recommendations for the Recommenders: Reflections on Prioritizing Diversity in the RecSys Challenge 7, 22–26. https://doi.org/10.1145/3687151.3687155
  - Heitz, L., Croci, J. A., Sachdeva, M., & Bernstein, A. (2024). Informfully – Research Platform for Reproducible User Studies Proceedings of the ACM Conference on Recommender Systems, 660–669. https://doi.org/10.1145/3640457.3688066
  - Fürer, D. L., Bernstein, A., & Rossetto, L. (2024). A Comparison of Late-Fusion Training Strategies for Quad-Modal Joint Embeddings Proceedings of the International Conference on Content-Based Multimedia Indexing, 1–7. https://doi.org/10.1109/cbmi62980.2024.10859218
  - Bachmann, F., Sarasua, C., & Bernstein, A. (2024). Fast and Adaptive Questionnaires for Voting Advice Applications Lecture Notes in Artificial Intelligence, 365–380. https://doi.org/10.1007/978-3-031-70381-2_23
  - Rossetto, L., Kyriakou, A., Lange, S., Ruosch, F., Wang, R., Wardatzky, K., & Bernstein, A. (2024). LifeGraph 4 - Lifelog Retrieval using Multimodal Knowledge Graphs and Vision-Language Models 88–92. https://doi.org/10.1145/3643489.3661127
  - Spiess, F., Schuldt, H., & Rossetto, L. (2024). Spatiotemporal Lifelog Analytics in Virtual Reality with vitrivr-VR 7–11. https://doi.org/10.1145/3643489.3661113
  - Sauter, L., Gasser, R., Rettig, L., Schuldt, H., & Rossetto, L. (2024). General Purpose Multimedia Retrieval with vitrivr at LSC’24. 47–52. https://doi.org/10.1145/3643489.3661120
  - Gurrin, C., Zhou, L., Healy, G., Bailer, W., Dang Nguyen, D.-T., Hodges, S., Jónsson, B. Þ., Lokoč, J., Rossetto, L., Tran, M.-T., & Schöffmann, K. (2024). Introduction to the Seventh Annual Lifelog Search Challenge, LSC’24. 1334–1335. https://doi.org/10.1145/3652583.3658891
  - Yu, F., Zhang, B., Fang, Y., Bei, J., Ren, T., Li, J., & Rossetto, L. (2024). Reproducibility Companion Paper of “MMSF: A Multimodal Sentiment-Fused Method to Recognize Video Speaking Style.” 1232–1235. https://doi.org/10.1145/3652583.3658373
  - Rossetto, L. (2024). OpenLifelogCam - A Low-Cost Open-Source Wearable Camera Platform 1236–1240. https://doi.org/10.1145/3652583.3657588
  - Ruosch, F., Kottekulam Vasu, R., Wang, R., Rossetto, L., & Bernstein, A. (2024). Single-label multi-modal field of research classification In G. Rehm, S. Dietze, S. Schimmler, & F. Krüger (Eds.), Lecture Notes in Computer Science (No. 14770; pp. 224–233). Springer (Bücher). https://doi.org/10.1007/978-3-031-65794-8_15
  - Meguellati, E., Han, L., Bernstein, A., Sadiq, S., & Demartini, G. (2024). How Good are LLMs in Generating Personalized Advertisements? Proceedings of the International World Wide Web Conference, 826–829. https://doi.org/10.1145/3589335.3651520
  - Heitz, L., Bernstein, A., & Rossetto, L. (2024). An Empirical Exploration of Perceived Similarity between News Article Texts and Images CEUR Workshop Proceedings, online. https://ceur-ws.org/Vol-3658/paper8.pdf

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Important note about the Querix name

"Querix" is a registered trademark of Querix (UK) Ltd. (http://www.querix.com). The above mentioned tool/interface/publication named "Querix" was elaborated independent from Querix (UK) Ltd.

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Current DDIS Publications

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Publications

2026

Journal Article

2025

Journal Article

Conference or Workshop item

Dissertation

Scientific Publication in Electronic Form

2024

Journal Article

Book Section

Conference or Workshop item

Pagination

Important note about the Querix name