Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Mathias Uta"'
Autor:
Mathias Uta, Alexander Felfernig, Viet-Man Le, Thi Ngoc Trang Tran, Damian Garber, Sebastian Lubos, Tamim Burgstaller
Publikováno v:
Frontiers in Big Data, Vol 7 (2024)
Recommender systems are decision support systems that help users to identify items of relevance from a potentially large set of alternatives. In contrast to the mainstream recommendation approaches of collaborative filtering and content-based filteri
Externí odkaz:
https://doaj.org/article/daf85785e3d741faa2a0bd7467cd124e
Autor:
Andrei Popescu, Mathias Uta, Thi Ngoc Trang Tran, Alexander Felfernig, Seda Polat-Erdeniz, Müslüm Atas
Publikováno v:
Journal of Intelligent Information Systems. 57:467-489
User preferences are a crucial input needed by recommender systems to determine relevant items. In single-shot recommendation scenarios such as content-based filtering and collaborative filtering, user preferences are represented, for example, as key
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::526fced4d28f24efa9bc72d1f6b7bf6f
https://doi.org/10.1007/s10844-021-00674-5
https://doi.org/10.1007/s10844-021-00674-5
Publikováno v:
Proceedings of the 26th ACM International Systems and Software Product Line Conference - Volume A.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eda8d5a127217fc5bff7bfd57cc9c399
https://doi.org/10.1145/3546932.3546992
https://doi.org/10.1145/3546932.3546992
Publikováno v:
Proceedings of the 26th ACM International Systems and Software Product Line Conference - Volume A.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edc5e7bbc94dd8736f3e1d8ce8249c64
https://doi.org/10.1145/3546932.3546996
https://doi.org/10.1145/3546932.3546996
Autor:
Viet-Man Le, Thi Ngoc Trang Tran, Mathias Uta, Andrei Popescu, Denis Helic, Alexander Felfernig
Publikováno v:
SPLC (A)
Configurators can be evaluated in various ways such as efficiency and completeness of solution search, optimality of the proposed solutions, usability of configurator user interfaces, and configuration consistency. Due to the increasing size and comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1f7fbf49c27f8f0ba7fa80129814788
https://doi.org/10.1145/3461001.3471144
https://doi.org/10.1145/3461001.3471144
Autor:
Müslüm Atas, Mathias Uta, Viet-Man Le, Alexander Felfernig, Thi Ngoc Trang Tran, Andrei Popescu
Recommender systems support decisions in various domains ranging from simple items such as books and movies to more complex items such as financial services, telecommunication equipment, and software systems. In this context, recommendations are dete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::886eca4467729c178475a2fa574e2ff5
Autor:
José A. Galindo, Mathias Uta, Thi Ngoc Trang Tran, David Benavides, Alexander Felfernig, Viet-Man Le
Publikováno v:
ICSE (NIER)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Variability models (e.g., feature models) are a common way for the representation of variabilities and commonalities of software artifacts. Such models can be translated to a logical representation and thus allow different operations for quality assu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8abffc4eef0023b4d8a803a853d16244
Autor:
Thi Ngoc Trang Tran, Mathias Uta, Viet Man Le, David Benavides, Alexander Felfernig, José A. Galindo, Müslüm Atas
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
instname
Complex and large-scale feature models can become faulty, i.e., do not represent the expected variability properties of the underlying software artifact. In this paper, we propose the DirectDebug algorithm that supports the automated testing and debu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cabbd1a97fad6cd2869e3e3ec2d48b9b
https://doi.org/10.1016/j.simpa.2021.100085
https://doi.org/10.1016/j.simpa.2021.100085