Policy Recommendation: In Developing the Potential of Bandur Picak Village, Koto Kampar Hulu, Kampar Regency

Autor: Bunga Chintia Utami, Lapeti Sari, Taryono Taryono, Mahardi Mahardi

Publikováno v: Jurnal Public Policy, Vol 8, Iss 4, Pp 215-220 (2022)

This study aims to look at policy recommendations for developing village potential in Bandur Picak Village, Koto Kampar Hulu District, Kampar Regency, and to find out alternative policies that have been implemented, especially in the management of th

Externí odkaz: https://doaj.org/article/3ca2921c855e4f7f97d779729b03a19b

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Fairness through domain awareness : mitigating popularity bias for music discovery

Autor: Salganik, Rebecca

The last decade has brought with it a wave of innovative technology, shifting the channels through which creative content is created, consumed, and categorized. And, as our interactions with creative multimedia content shift towards online platforms,

Externí odkaz: http://hdl.handle.net/1866/32535

Cystic Fibrosis: Fighting Together Against Coronavirus Infection

Autor: Sara Manti, Giuseppe Fabio Parisi, Maria Papale, Enza Mulè, Donatella Aloisio, Novella Rotolo, Salvatore Leonardi

Publikováno v: Frontiers in Medicine, Vol 7 (2020)

Externí odkaz: https://doaj.org/article/6a63becae2e24fe0b33c349882c547b5

RECTO : REcommandation diminuant la Congestion par Transport Optimal

Autor: Bied, G, Perennes, E, Nathan, S, Naya, V, Caillou, P, Crepon, B, Gaillac, C, Sebag, M

Publikováno v: Actes de la 9ème Conférence Nationale sur les Applications Pratiques de l’Intelligence Artificielle (APIA) PFIA 2023
9ème Conférence Nationale sur les Applications Pratiques de l’Intelligence Artificielle APIA@PFIA2023
9ème Conférence Nationale sur les Applications Pratiques de l’Intelligence Artificielle APIA@PFIA2023, AFIA-Association Française pour l'Intelligence Artificielle; ICube-laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie, Jul 2023, Strasbourg, France. pp.89-98

National audience; The matching setting, a particular case of recommendation problem, focuses on applications where a so-called item can be attributed to at most one user, with the job market and the matrimonial market as chief examples. In such case

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______165::ce6959da0f0c5ac1c6802ca78899bd28
https://hal.science/hal-04158566/document