Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Jean Garcia-Gathright"'
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 14:705-714
Audio streaming services have made it easier for countries around the world to listen to each other's music. This expansion in listeners' access to global content, however, has raised questions about streaming's impact on the import and export flows
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddabe694e63f4f87414aecbdd36ebcfc
https://doi.org/10.1609/icwsm.v14i1.7336
https://doi.org/10.1609/icwsm.v14i1.7336
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fffe7feba93e2348b6198f2e06f91d11
https://doi.org/10.1145/3458553.3458556
https://doi.org/10.1145/3458553.3458556
Publikováno v:
CHI
In order to support fairness-forward thinking by machine learning (ML) practitioners, fairness researchers have created toolkits that aim to transform state-of-the-art research contributions into easily-accessible APIs. Despite these efforts, recent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1281a9b7e5a785a830a877b97a933ebd
https://doi.org/10.1145/3411764.3445604
https://doi.org/10.1145/3411764.3445604
Autor:
Michael D Ekstrand, Pierre-Nicolas Schwab, Jean Garcia-Gathright, Toshihiro Kamishima, Nasim Sonboli
Publikováno v:
Fourteenth ACM Conference on Recommender Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79292d1def659290412b68e95dd55dbc
https://doi.org/10.1145/3383313.3411538
https://doi.org/10.1145/3383313.3411538
Publikováno v:
Interactions. 25:58-63
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e1ab83f9bfc4d9c23a0e3d19ee9ff2f
https://doi.org/10.1145/3278156
https://doi.org/10.1145/3278156
Publikováno v:
SIGIR
Instant search has become a popular search paradigm in which users are shown a new result page in response to every keystroke triggered. Over recent years, the paradigm has been widely adopted in several domains including personal email search, e-com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3396d7df1f7cebb1ee6090c996e46212
https://doi.org/10.1145/3331184.3331293
https://doi.org/10.1145/3331184.3331293
Autor:
Ang Li, Brian St. Thomas, Jennifer Thom, Praveen Chandar, Jean Garcia-Gathright, Christine Hosey
Publikováno v:
WWW
Music listening is a commonplace activity that has transformed as users engage with online streaming platforms. When presented with anytime, anywhere access to a vast catalog of music, users face challenges in searching for what they want to hear. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfd71b1fab7880a9546a0942a6beee0a
https://doi.org/10.1145/3308558.3313627
https://doi.org/10.1145/3308558.3313627
Publikováno v:
CHI
Music-streaming platforms offer users a large amount of content for consumption. Finding the right music can be challenging and users often need to search through extensive catalogs provided by these platforms. Prior research has focused on general-d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80a160b8121f54dbee6ac573f2d2a47d
https://doi.org/10.1145/3290605.3300529
https://doi.org/10.1145/3290605.3300529
Publikováno v:
CHI Extended Abstracts
Potential negative outcomes of machine learning and algorithmic bias have gained deserved attention. However, there are still relatively few standard processes to assess and address algorithmic biases in industry practice. Practical tools that integr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f83f9559df97ce23e5c0c407d653ccc1
https://doi.org/10.1145/3290607.3299057
https://doi.org/10.1145/3290607.3299057
Publikováno v:
SIGIR '19: proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval : July 21-25, 2019, Paris, France, 1423-1425
STARTPAGE=1423;ENDPAGE=1425;TITLE=SIGIR '19
SIGIR
STARTPAGE=1423;ENDPAGE=1425;TITLE=SIGIR '19
SIGIR
This workshop explores challenges in responsible information retrieval system development and deployment. The focus is on determining actionable research agendas on five key dimensions of responsible information retrieval: fairness, accountability, c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a42ce0b4dedd69ac197c4e1be9cb6a0e
https://dare.uva.nl/personal/pure/en/publications/workshop-on-fairness-accountability-confidentiality-transparency-and-safety-in-information-retrieval-factsir(019ffb59-a5f8-4b0d-92d3-a9c67d1900be).html
https://dare.uva.nl/personal/pure/en/publications/workshop-on-fairness-accountability-confidentiality-transparency-and-safety-in-information-retrieval-factsir(019ffb59-a5f8-4b0d-92d3-a9c67d1900be).html
