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Lotharstr. 65 (LE)
47057 Duisburg
47057 Duisburg
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LE 410
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Wissenschaftliche/r Mitarbeiter/in, Interaktive Systeme
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Die folgenden Publikationen sind in der Online-Universitätsbibliographie der Universität Duisburg-Essen verzeichnet. Weitere Informationen finden Sie gegebenenfalls auch auf den persönlichen Webseiten der Person.
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From explanations to human-AI co-evolution : Charting trajectories towards future user-centric AIIn: i-com: Journal of Interactive Media, Jg. 23, 2024, Nr. 2, S. 263 – 272DOI (Open Access)
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De-sounding echo chambers : Simulation-based analysis of polarization dynamics in social networksIn: Online Social Networks and Media, Jg. 37-38, 2023, 100275DOI (Open Access)
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Leveraging Arguments in User Reviews for Generating and Explaining RecommendationsIn: Datenbank-Spektrum, Jg. 20, 2020, Nr. 2, S. 181 – 187DOI (Open Access)
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Interactive recommending with Tag-Enhanced Matrix Factorization (TagMF)In: International Journal of Human Computer Studies, Jg. 121, 2019, S. 21 – 41
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Towards Understanding Latent Factors and User Profiles by Enhancing Matrix Factorization with TagsIn: Poster-RecSys 2016: Poster Proceedings of ACM RecSys 2016 / 10th ACM Conference on Recommender Systems (RecSys 2016), 17. September 2016, Boston, USA / Guy, Ido; Sharma, Amit (Hrsg.). Aachen: RWTH Aachen, 2016Online Volltext (Open Access)
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An Instrument for measuring users’ meta-intentsIn: CHIIR '23: Proceedings of the 2023 Conference on Human Information Interaction and Retrieval / 2023 Conference on Human Information Interaction and Retrieval ; CHIIR 2023 ; March 19–23, 2023, Austin, Texas, USA / Gwizdka, Jacek; Rieh, Soo Young (Hrsg.). Washington: ACM, 2023, S. 290 – 302
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Meta-Intents in Conversational Recommender SystemsIn: Proceedings of the Fourth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 16th ACM Conference on Recommender Systems (RecSys 2022) / Fourth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), Seattle, WA, USA, September 22nd, 2022 / Anelli, Vito; Basile, Pierpaolo; De Melo, Gerard (Hrsg.). Aachen: RWTH Aachen, 2022, S. 81 – 90Online Volltext (Open Access)
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The dual echo chamber : Modeling social media polarization for interventional recommendingIn: Fifteenth ACM Conference on Recommender Systems / RecSys '2: Fifteenth ACM Conference on Recommender Systems, 27.09.-01.10.2021, Amsterdam. New York: Association for Computing Machinery, Inc, 2021, S. 12 – 22
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Effects of Argumentative Explanation Types on the Perception of Review-Based RecommendationsIn: UMAP 2020 Adjunct: Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization / UMAP 2020, 14 - 17 July 2020, Genoa, Italy. New York: Association for Computing Machinery (ACM), 2020, S. 219 – 225DOI (Open Access)
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Explaining recommendations by means of aspect-based transparent memoriesIn: Proceedings of the 25th International Conference on Intelligent User Interfaces / IUI '20: 25th International Conference on Intelligent User Interfaces, 17.-20.03.2020, Cagliari, Italy / Paternò, Fabio; Oliver, Nuria (Hrsg.). New York, NY: The Association for Computing Machinery, 2020, S. 166 – 176DOI, Online Volltext (Open Access)
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Impact of consuming suggested items on the assessment of recommendations in user studies on recommender systemsIn: International Joint Conference on Artificial Intelligence (IJCAI) / International Joint Conference on Artificial Intelligence (IJCAI); 10-16 August 2019; Macao / Kraus, Sarit (Hrsg.): International Joint Conferences on Artificial Intelligence, 2019, S. 6201 – 6205DOI (Open Access)
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Let me explain : Impact of personal and impersonal explanations on trust in recommender systemsIn: Conference on Human Factors in Computing Systems: Proceedings / CHI 2019; Glasgow; United Kingdom; 4 - 9 May 2019. New York: ACM, 2019
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Argumentation-based explanations in recommender systems : Conceptual framework and empirical resultsIn: UMAP 2018 - Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization / UMAP 2018; Singapore; 8 -11 July 2018: Association for Computing Machinery, Inc, 2018, S. 293 – 298
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Explaining Recommendations by Means of User ReviewsIn: Joint Proceedings of the ACM IUI 2018 Workshops / Workshops on the 23rd ACM Conference on Intelligent User Interfaces (ACM IUI 2018), 11 March 2018, Tokyo, Japan / Said, Alan; Komatsu, Takanori (Hrsg.). Aachen: RWTH Aachen, 2018Online Volltext (Open Access)
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Impact of item consumption on assessment of recommendations in user studiesIn: Proceedings of the 12th ACM Conference on Recommender Systems / 12th ACM Conference on Recommender Systems (RecSys), 2nd-7th October 2018, Vancouver, Canada. New York, NY: ACM, 2018, S. 49 – 53
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Trust-Related Effects of Expertise and Similarity Cues in Human-Generated RecommendationsIn: Joint Proceedings of the ACM IUI 2018 Workshops / Workshops on the 23rd ACM Conference on Intelligent User Interfaces (ACM IUI 2018), 11 March 2018, Tokyo, Japan / Said, Alan; Komatsu, Takanori (Hrsg.). Aachen: RWTH Aachen, 2018Online Volltext (Open Access)
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Sequential User-based Recurrent Neural Network RecommendationsIn: Proceedings of the Eleventh ACM Conference on Recommender Systems / RecSys 2017, 11th ACM Conference on Recommender Systems, 27-31 August 2017, Como, Italy. New York: ACM, 2017, S. 152 – 160
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ConceptCloud : Entwicklung einer Applikation zur Unterstützung von Reflexionsprozessen im Online-Lernportal Go-LabIn: DeLFI Workshops 2015 / DeLFI Workshops 2015, 1 September 2015, Munich, Germany / Rathmayer, Sabine; Pongratz, Hans (Hrsg.). Aachen: RWTH Aachen, 2015, S. 132 – 135Online Volltext (Open Access)
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Merging Latent Factors and Tags to Increase Interactive Control of RecommendationsIn: Poster Proceedings of ACM RecSys 2015 / 9th ACM Conference on Recommender Systems (RecSys 2015), 16 September 2015, Vienna, Austria / Castells, Pablo (Hrsg.). Aachen: RWTH Aachen, 2015Online Volltext (Open Access)
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Harnessing Latent Space Semantics for Enhanced Interpretability of Recommender Systems in Item Retrieval and Online Communication DynamicsDuisburg, Essen, 2024DOI, Online Volltext (Open Access)