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pro vyhledávání: '"Said, Alan"'
Due to recent advancements in machine learning, recommender systems use increasingly more energy for training, evaluation, and deployment. However, the recommender systems community often does not report the energy consumption of their experiments. I
Externí odkaz:
http://arxiv.org/abs/2409.15060
Autor:
Kecki, Veronica, Said, Alan
Fairness in AI-driven decision-making systems has become a critical concern, especially when these systems directly affect human lives. This paper explores the public's comprehension of fairness in healthcare recommendations. We conducted a survey wh
Externí odkaz:
http://arxiv.org/abs/2409.03893
As global warming soars, the need to assess the environmental impact of research is becoming increasingly urgent. Despite this, few recommender systems research papers address their environmental impact. In this study, we estimate the environmental i
Externí odkaz:
http://arxiv.org/abs/2408.08203
The tech industry has been criticised for designing applications that undermine individuals' autonomy. Recommender systems, in particular, have been identified as a suspected culprit that might exercise unwanted control over peoples' lives. In this a
Externí odkaz:
http://arxiv.org/abs/2211.08134
Autor:
Bellogín, Alejandro, Said, Alan
Reproducibility is a key requirement for scientific progress. It allows the reproduction of the works of others, and, as a consequence, to fully trust the reported claims and results. In this work, we argue that, by facilitating reproducibility of re
Externí odkaz:
http://arxiv.org/abs/2102.00482
Autor:
Hauptmann, Hanna1 (AUTHOR) h.j.hauptmann@uu.nl, Said, Alan2 (AUTHOR), Trattner, Christoph3 (AUTHOR)
Publikováno v:
User Modeling & User-Adapted Interaction. Nov2022, Vol. 32 Issue 5, p781-786. 6p.
We describe the Universal Recommender, a recommender system for semantic datasets that generalizes domain-specific recommenders such as content-based, collaborative, social, bibliographic, lexicographic, hybrid and other recommenders. In contrast to
Externí odkaz:
http://arxiv.org/abs/0909.3472
Autor:
Said, Alan1 (AUTHOR) alansaid@acm.org, Zangerle, Eva2 (AUTHOR) eva.zangerle@uibk.ac.at, Bauer, Christine3 (AUTHOR) christine.bauer@plus.ac.at
Publikováno v:
SIGIR Forum. Dec2023, Vol. 57 Issue 2, p1-4. 4p.
Autor:
Ferwerda, Bruce, Hanbury, Allan, Knijnenburg, Bart P., Larsen, Birger, Michiels, Lien, Papenmeier, Andrea, Said, Alan, Schaer, Philipp, Willemsen, Martijn
Publikováno v:
Ferwerda, B, Hanbury, A, Knijnenburg, B P, Larsen, B, Michiels, L, Papenmeier, A, Said, A, Schaer, P & Willemsen, M 2023, Reality Check – Conducting Real World Studies . in C Bauer, B Carterette, N Ferro & N Fuhr (eds), Frontiers of Information Access Experimentation for Research and Education : Report from Dagstuhl Seminar 23031 . 1 edn, vol. 13, Schloss Dagstuhl-Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, Dagstuhl Reports, no. 1, vol. 13, pp. 20-40, Frontiers of Information Access Experimentation for Research and Education, Wadern, Germany, 15/01/2020 . < https://arxiv.org/pdf/2305.01509.pdf >
Information retrieval and recommender systems are deployed in real world environments. Therefore, to get a real feeling for the system, we should study their characteristics in “real world studies”. This raises the question: What does it mean for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::788b10409e1b33b1af5ead6aae52bd8e
https://vbn.aau.dk/da/publications/5d1512ec-a43a-4874-b8ab-e09f356790a3
https://vbn.aau.dk/da/publications/5d1512ec-a43a-4874-b8ab-e09f356790a3