Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Maria Stratigi"'
Publikováno v:
Algorithms, Vol 13, Iss 3, p 54 (2020)
Providing useful resources to patients is essential in achieving the vision of participatory medicine. However, the problem of identifying pertinent content for a group of patients is even more difficult than identifying information for just one. Nev
Externí odkaz:
https://doaj.org/article/8ef2120c3139430c8d9eeab6f0f651b2
Publikováno v:
Information Systems. 112:102128
Nowadays, sequential recommendations are becoming more prevalent. A user expects the system to remember past interactions and not conduct each recommendation round as a stand-alone process. Additionally, group recommendation systems are more prominen
DNA damage and metabolic disorders are intimately linked with premature disease onset but the underlying mechanisms remain poorly understood. Here, we show that persistent DNA damage accumulation in tissue-infiltrating macrophages carrying an ERCC1-X
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2127::98db3db49ba36fc07397aeb26526124c
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3189101
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3189101
Publikováno v:
Web Information Systems Engineering – WISE 2020 ISBN: 9783030620073
WISE (2)
Web Information Systems Engineering – WISE 2020 21st International Conference, Amsterdam, The Netherlands, October 20–24, 2020, Proceedings
WISE
WISE, Oct 2020, Amsterdam, Netherlands. ⟨10.1007/978-3-030-62008-0_21⟩
WISE (2)
Web Information Systems Engineering – WISE 2020 21st International Conference, Amsterdam, The Netherlands, October 20–24, 2020, Proceedings
WISE
WISE, Oct 2020, Amsterdam, Netherlands. ⟨10.1007/978-3-030-62008-0_21⟩
International audience; Throughout our digital lives, we are getting recommendations for about almost everything we do, buy or consume. However, it is often the case that recommenders cannot locate the best data items to suggest. To deal with this sh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b91c38a8835d59c7ab09d35ddeb0e98
https://doi.org/10.1007/978-3-030-62008-0_21
https://doi.org/10.1007/978-3-030-62008-0_21
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030302771
ADBIS (Short Papers and Workshops)
ADBIS (Short Papers and Workshops)
Together with the prevalence of e-commerce and online shopping, recommender systems have been playing an increasingly important role in people’s daily lives in terms of discovering their potential preferences. Therein, users’ preferences are most
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d4469e22cfe08f055e7a7889ed32324
https://trepo.tuni.fi/handle/10024/117722
https://trepo.tuni.fi/handle/10024/117722
Publikováno v:
Algorithms, Vol 13, Iss 3, p 54 (2020)
Algorithms
Volume 13
Issue 3
Algorithms
Volume 13
Issue 3
Providing useful resources to patients is essential in achieving the vision of participatory medicine. However, the problem of identifying pertinent content for a group of patients is even more difficult than identifying information for just one. Nev
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319988115
DEXA (2)
DEXA (2)
FairGRecs aims to offer valuable information to users, in the form of suggestions, via their caregivers, and improve as such the opportunities that users have to inform themselves online about health problems and possible treatments. Specifically, Fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0a8671e1acd933344df5a5a4de966ec
https://doi.org/10.1007/978-3-319-98812-2_11
https://doi.org/10.1007/978-3-319-98812-2_11
Publikováno v:
2017 IEEE 33rd International Conference on Data Engineering (ICDE)
ICDE
ICDE
During the last decade, the number of users who look for health-related information has impressively increased. On the other hand, health professionals have less and less time to recommend useful sources of such information online to their patients.
Publikováno v:
BASE-Bielefeld Academic Search Engine
Recently, group recommendations have gained much attention. Nevertheless, most approaches consider only one round of recommendations. However, in a real-life scenario, it is expected that the history of previous recommendations is exploited to tailor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8daacda77dd6f351e67b1e0efa39e9f2
https://trepo.tuni.fi/handle/10024/133700
https://trepo.tuni.fi/handle/10024/133700