print

Bing-CSF-IDF+: a semantics-driven recommender system for news

author
Huijsduijnen, Lies Hooft van
Hoogmoed, Thom
Keulers, Geertje
Langendoen, Edmar
Langendoen, Sanne
Vos, Tim
Hogenboom, Frederik
Frasincar, Flavius
Robal, Tarmo
statement of authorship
Lies Hooft van Huijsduijnen, Thom Hoogmoed, Geertje Keulers, Edmar Langendoen, Sanne Langendoen, Tim Vos Frederik Hogenboom, Flavius Frasincar, Tarmo Robal
source
New trends in databases and information systems : ADBIS 2020 short papers, Lyon, France, August 25–27, 2020 : proceedings
location of publication
Cham
publisher
Springer
year of publication
2020
pages
p. 143−153
series
Communications in computer and information science ; 1259
url
https://doi.org/10.1007/978-3-030-54623-6_13
subject term
semantiline analüüs
andmed
tehisõpe
Scopus
Conference proceeding at Scopus
Article at Scopus
kvartiil
Q4
category (general)
Mathematics
Computer science
category (sub)
Mathematics. General mathematics
Computer science. General computer science
ISSN
1865-0929
ISBN
978-3-030-54622-9
notes
Bibliogr.: 21 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TTÜ department
arvutisüsteemide instituut
language
inglise
Uurimisrühm
Didactics and technology research group
Centre of dependable computing systems
Huijsduijnen, L.H., Hoogmoed, T., Keulers, G., Robal, T. et al. Bing-CSF-IDF+: a semantics-driven recommender system for news // New trends in databases and information systems : ADBIS 2020 short papers, Lyon, France, August 25–27, 2020 : proceedings. Cham : Springer, 2020. p. 143−153. (Communications in computer and information science ; 1259). https://doi.org/10.1007/978-3-030-54623-6_13