Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Johann Schaible"'
Autor:
Marcos Oliveira, Fariba Karimi, Maria Zens, Johann Schaible, Mathieu Génois, Markus Strohmaier
Publikováno v:
Communications Physics, Vol 5, Iss 1, Pp 1-9 (2022)
The emergence of inequality in social interactions can depend on a number of factors, among which the intrinsic attractiveness of individuals, but also group size the presence of pre-formed social ties. Here, the authors propose “social attractiven
Externí odkaz:
https://doaj.org/article/efccc04702a546a5b20e30b514338b99
Publikováno v:
IASSIST Quarterly, Vol 38, Iss 4 (2015)
Linking Study Descriptions to the Linked Open Data Cloud
Externí odkaz:
https://doaj.org/article/4b4678ea724342baa5e71f1d49dcb585
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030722395
ECIR (2)
ECIR (2)
Meta-evaluation studies of system performances in controlled offline evaluation campaigns, like TREC and CLEF, show a need for innovation in evaluating IR-systems. The field of academic search is no exception to this. This might be related to the fac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0765eb17bc84d3afe69be091480f4b15
https://doi.org/10.1007/978-3-030-72240-1_77
https://doi.org/10.1007/978-3-030-72240-1_77
Autor:
Narges Tavakolpoursaleh, Johann Schaible, Leyla Jael Castro, Timo Breuer, Benjamin Wolff, Philipp Schaer
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030852504
CLEF
CLEF
The Living Labs for Academic Search (LiLAS) lab aims to strengthen the concept of user-centric living labs for academic search. The methodological gap between real-world and lab-based evaluation should be bridged by allowing lab participants to evalu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28f29274d48297331c1e3fdd0bd8cac5
https://doi.org/10.1007/978-3-030-85251-1_25
https://doi.org/10.1007/978-3-030-85251-1_25
Publikováno v:
Lecture Notes in Computer Science
Experimental IR Meets Multilinguality, Multimodality, and Interaction
Lecture Notes in Computer Science ISBN: 9783030582180
CLEF
Experimental IR Meets Multilinguality, Multimodality, and Interaction
Lecture Notes in Computer Science ISBN: 9783030582180
CLEF
Academic Search is a timeless challenge that the field of Information Retrieval has been dealing with for many years. Even today, the search for academic material is a broad field of research that recently started working on problems like the COVID-1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e79b0ee5983c5f7b0d8073efaeaccb1
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030454418
ECIR (2)
ECIR (2)
The need for innovation in the field of academic search and IR, in general, is shown by the stagnating system performance in controlled evaluation campaigns, as demonstrated in TREC and CLEF meta-evaluation studies, as well as user studies in real sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::479e324f33c9ab30a3706c3e4f066590
https://doi.org/10.1007/978-3-030-45442-5_75
https://doi.org/10.1007/978-3-030-45442-5_75
Autor:
Philipp Schaer, Narges Tavakolpoursaleh, Benjamin Wolff, Bernd Müller, Timo Breuer, Johann Schaible
Publikováno v:
Datenbank-Spektrum : Zeitschrift für Datenbanktechnologien und Information Retrieval
Trends in Information Retrieval Evaluation
Trends in Information Retrieval Evaluation
Academic search systems aid users in finding information covering specific topics of scientific interest and have evolved from early catalog-based library systems to modern web-scale systems. However, evaluating the performance of the underlying retr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a19e2fc7ceb9d277892fec39fcdcf89
https://www.ssoar.info/ssoar/handle/document/86702
https://www.ssoar.info/ssoar/handle/document/86702
Autor:
Johann Schaible
Publikováno v:
Bibliotheksdienst. 52:235-247
Zusammenfassung Webbasierte Informations- und Kommunikationssysteme erweitern einer wissenschaftlichen Community Zugriffsmöglichkeiten auf wissenschaftliche Informationen, z. B. Publikationen oder Forschungsdaten, sowie Austauschmöglichkeiten mit a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f46ea16182665195532c58db0df5a1d1
https://doi.org/10.1515/bd-2018-0030
https://doi.org/10.1515/bd-2018-0030
Publikováno v:
Künstliche Intelligenz
In recent years Linked Open Data (LOD) has matured and gained acceptance across various communities and domains. Large potential of Linked Data technologies is seen for an application in scientific disciplines. In this article, we present use cases a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16a38ba59d1a3e5e9abd242023c297a0
https://doi.org/10.1007/s13218-015-0416-6
https://doi.org/10.1007/s13218-015-0416-6
Recommender-system datasets are used for recommender-system offline evaluations, training machine-learning algorithms, and exploring user behavior. While there are many datasets for recommender systems in the domains of movies, books, and music, ther
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e861d99f30d52fbdd5c8ec790c127690
http://arxiv.org/abs/1706.03428
http://arxiv.org/abs/1706.03428