Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Michael D. Ekstrand"'
Information access research (and development) sometimes makes use of gender, whether to report on the demographics of participants in a user study, as inputs to personalized results or recommendations, or to make systems gender-fair, amongst other pu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f6d91a13d9c44bcd14724489f8d6480
Autor:
Amifa Raj, Michael D. Ekstrand
Publikováno v:
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.
Publikováno v:
Aslib Journal of Information Management. 72:725-744
PurposeThis paper investigates how school teachers look for informational texts for their classrooms. Access to current, varied and authentic informational texts improves learning outcomes for K-12 students, but many teachers lack resources to expand
Autor:
Alexandra Olteanu, Jean Garcia-Gathright, Maarten de Rijke, Michael D. Ekstrand, Adam Roegiest, Aldo Lipani, Alex Beutel, Ana Lucic, Ana-Andreea Stoica, Anubrata Das, Asia Biega, Bart Voorn, Claudia Hauff, Damiano Spina, David Lewis, Douglas W. Oard, Emine Yilmaz, Faegheh Hasibi, Gabriella Kazai, Graham McDonald, Hinda Haned, Iadh Ounis, Ilse van der Linden, Joris Baan, Kamuela N. Lau, Krisztian Balog, Mahmoud Sayed, Maria Panteli, Mark Sanderson, Matthew Lease, Preethi Lahoti, Toshihiro Kamishima
Publikováno v:
ACM SIGIR Forum. 53:20-43
The purpose of the SIGIR 2019 workshop on Fairness, Accountability, Confidentiality, Transparency, and Safety (FACTS-IR) was to explore challenges in responsible information retrieval system development and deployment. To this end, the workshop aimed
Autor:
David Rohde, Pablo Castells, Manel Slokom, Allison J. B. Chaney, Robin Burke, Michael D. Ekstrand
Publikováno v:
RecSys
RecSys 2021-15th ACM Conference on Recommender Systems
RecSys 2021-15th ACM Conference on Recommender Systems
There is significant interest lately in using synthetic data and simulation infrastructures for various types of recommender systems research. However, there are not currently any clear best practices around how best to apply these methods. We propos
Autor:
Lawrence Spear, Maria Soledad Pera, Ashlee Milton, Amifa Raj, Michael D. Ekstrand, Garrett Allen, Michael Green
Publikováno v:
RecSys
Music is an important part of childhood development, with online music listening platforms being a significant channel by which children consume music. Children’s offline music listening behavior has been heavily researched, yet relatively few stud
Publikováno v:
RecSys
Publikováno v:
User Modeling and User-Adapted Interaction, 31(3), 371-375. Springer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::793032bdbd0d81643b7e18c7b525077e
https://cris.maastrichtuniversity.nl/en/publications/859661d7-ef3d-4f77-be44-a910dddeb63e
https://cris.maastrichtuniversity.nl/en/publications/859661d7-ef3d-4f77-be44-a910dddeb63e
Autor:
Mucun Tian, Michael D. Ekstrand
This publication contains scripts to reproduce the paper “Estimating Error and Bias in Offline Evaluation Results” by Muncun Tian and Michael D. Ekstrand in Proceedings of the 2020 Conference on Human Information Interaction and Retrieval (CHIIR
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7521d9e8383239451ed43ee1d08c2784
https://doi.org/10.18122/cs_scripts.8.boisestate
https://doi.org/10.18122/cs_scripts.8.boisestate