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Alan Said
Viceprefekt
Institutionen för tillämpad informationsteknologiUniversitetslektor
Inst tillämpad IT, avd för informatikOm Alan Said
Alan Said är docent i datavetenskap och forskar bland annat på informationssystem och artificiell intelligens. Hans forskning kretsar kring hur informationssystem kan anpassas genom personalisering, rekommendationssystem, och användarmodellering. Said disputerade 2013 vid Technische Universität Berlin. Efter disputation har han arbetat vid, bland annat, Centrum Wiskunde & Informatica i Amsterdam och Delft University of Technology. 2019 flyttade han till Institutionen för Tillämpad IT där han fortsatt forska inom AI samt arbetar som viceprefekt för utbildning på grund och avancerad nivå.
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EMERS: Energy Meter for Recommender
Systems
Lukas Wegmeth, Tobias Vente, Alan Said, Joeran Beel
Workshop on Recommender Systems for Sustainability and Social Good - 2024 -
Understanding Fairness in Recommender Systems: A Healthcare
Perspective
Veronica Kecki, Alan Said
ACM Conference on Recommender Systems (RecSys) - 2024 -
From Clicks to Carbon: The Environmental Toll of Recommender
Systems
Tobias Vente, Lukas Wegmeth, Alan Said, Joeran Beel
ACM Conference on Recommender Systems (RecSys) - 2024 -
Leveraging ChatGPT for Automated Human-centered Explanations in Recommender
Systems
Itallo Silva, Leandro Balby Marinho, Alan Said, Martijn Willemsen
IUI '24: Proceedings of the 29th International Conference on Intelligent User Interfaces - 2024 -
Trust Through Recommendation in
E-commerce
Maria Saxborn, Yuechen Pan, Alan Said
CHIIR '24: Proceedings of the 2024 ACM SIGIR Conference on Human Information Interaction and Retrieval - 2024 -
Exploring the Landscape of Recommender Systems Evaluation: Practices and
Perspectives
Christine Bauer, Eva Zangerle, Alan Said
Transactions on Recommender Systems - 2024 -
Evaluating Group Recommender
Systems
Christoph Trattner, Alan Said, Ludovico Boratto, Alexander Felfernig
Signals and Communication Technology - 2024 -
Leveraging Large Language Models for Goal-driven Interactive
Recommendations
Martijn Willemsen, Leandro Balby Marinho, Itallo Silva, Alan Said
HAI '23: Proceedings of the 11th International Conference on Human-Agent Interaction - 2023 -
Third Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES
2023)
Alan Said, Eva Zangerle, Christine Bauer
Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023 - 2023 -
Leveraging Large Language Models for Recommendation and
Explanation
Itallo Silva, Alan Said, Leandro Balby Marinho, Martijn Willemsen
Proceedings of the 10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2023) - 2023 -
Reality Check – Conducting Real World
Studies
Bruce Ferwerda, Allan Hanbury, Bart P. Knijnenburg, Birger Larsen, Lien Michels, Andrea Papenmeier, Alan Said, Philipp Schaer, Martijn Willemsen
Frontiers of Information Access Experimentation for Research and Education : Report from Dagstuhl Seminar 23031 - 2023 -
Report on the 2nd Workshop on the Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2022) at RecSys
2022
Eva Zangerle, Christine Bauer, Alan Said
ACM SIGIR Forum - 2023 -
Research directions in recommender systems for health and well-being: A Preface to the Special
Issue
Hanna Hauptmann, Alan Said, Christoph Trattner
User Modeling and User-Adapted Interaction - 2022 -
Social Drones for Health and
Well-being
Mohammad Obaid, Kivanç Tatar, Mikael Wiberg, Alan Said, Mattias Rost, Alexandra Weilenmann, Wafa Johal, Friederike Eyssel
ACM International Conference Proceeding Series - 2022 -
Report on the 1st workshop on the perspectives on the evaluation of recommender systems (PERSPECTIVES 2021) at RecSys
2021
Eva Zangerle, Christine Bauer, Alan Said
SIGIR Forum - 2022 -
Improving accountability in recommender systems research through
reproducibility
Alejandro Bellogín, Alan Said
User Modeling and User-Adapted Interaction - 2021 -
Affective Colormap Design for Accurate Visual Comprehension in Industrial
Tomography
Y. C. Zhang, M. Fjeld, M. Fratarcangeli, Alan Said, S. D. Zhao
Sensors - 2021 -
Prediction Accuracy and
Autonomy
Anton Angwald, Kalle Areskoug, Alan Said
Perspectives on the Evaluation of Recommender Systems Workshop (PERSPECTIVES 2021) - 2021 -
Perspectives on the evaluation of recommender systems
(PERSPECTIVES)
Eva Zangerle, Christine Bauer, Alan Said
RecSys 2021 - 15th ACM Conference on Recommender Systems - 2021 -
Task-based Colormap Design Supporting Visual Comprehension in Process
Tomography
Yuchong Zhang, Morten Fjeld, Alan Said, Marco Fratarcangeli
EuroVis 2020 - 2020 -
Fourth international workshop on health recommender systems (HealthRecSys
2019)
David Elsweiler, Hanna Schäfer, Bernd Ludwig, Helma Torkamaan, Alan Said, Christoph Trattner
RecSys 2019 - 13th ACM Conference on Recommender Systems - 2019 -
Data Science in
Practice
Alan Said, Vicenç Torra
2018 -
Coherence and inconsistencies in rating behavior: estimating the magic barrier of recommender
systems
Alan Said, Alejandro Bellogín
User Modeling and User-Adapted Interaction - 2018 -
User nutrition modelling and recommendation - Balancing simplicity and
complexity
Hanna Schäfer, Mehdi Elahi, David Elsweiler, Georg Groh, Morgan Harvey, Bernd Ludwig, Francesco Ricci, Alan Said
UMAP 2017 - Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization - 2017 -
Towards health (Aware) recommender
systems
Hanna Schäfer, Santiago Hors-Fraile, Raghav Pavan Karumur, André Calero Valdez, Alan Said, Helma Torkamaan, Tom Ulmer, Christoph Trattner
ACM International Conference Proceeding Series - 2017 -
Predicting cyber vulnerability exploits with machine
learning
Michel Edkrantz, Alan Said
Frontiers in Artificial Intelligence and Applications - 2015