A scalable knowledge graph embedding model for next point-of-interest recommendation in Tallinn city
author
Ounoughi, Chahinez
Mouakher, Amira
Sherzad, Muhammad Ibraheem
Ben Yahia, Sadok
statement of authorship
Chahinez Ounoughi, Amira Mouakher, Muhammad Ibraheem Sherzad & Sadok Ben Yahia
source
Research Challenges in Information Science : 15th International Conference, RCIS 2021, Limassol, Cyprus, May 11–14, 2021 : proceedings
location of publication
Cham
publisher
Springer Nature Switzerland AG
year of publication
2021
pages
p. 435–451
series
Lecture notes in business information processing ; 415
conference name, date
15th International Conference, RCIS 2021, May 11–14, 2021
conference location
Limassol, Cyprus
url
https://doi.org/10.1007/978-3-030-75018-3_29
subject term
sotsiaalsed võrgustikud
huvid
Scopus
Conference Proceedings at Scopus
Article at Scopus
WOS
Article at WOS
kvartiil
Q3
category (general)
Business, management and accounting
en
Äri, juhtimine ja raamatupidamine
et
Decision sciences
en
Otsustusteadused
et
Engineering
en
Tehnika
et
Mathematics
en
Matemaatika
et
Computer science
en
Arvutiteadus
et
category (sub)
Business, management and accounting. Business and international management
en
Äri, juhtimine ja raamatupidamine. Äri- ja rahvusvaheline juhtimine
et
Business, management and accounting. Management information systems
en
Äri, juhtimine ja raamatupidamine. Juhtimisinfosüsteemid
et
Decision sciences. Information systems and management
en
Otsustusteadused. Infosüsteemid ja juhtimine
et
Engineering. Control and systems engineering
en
Tehnika. Juhtimis- ja süsteemitehnika
et
Mathematics. Modeling and simulation
en
Matemaatika. Modelleerimine ja simulatsioon
et
Computer science. Information systems
en
Arvutiteadus. Infosüsteemid
et
keyword
node embedding learning
knowledge graph
point-of-interest
recommender system
location-based social networks
ISBN
978-3-030-75017-6
978-3-030-75018-3
scientific publication
teaduspublikatsioon
classifier
3.1
TTÜ department
tarkvarateaduse instituut
language
inglise
Uurimisrühm
Data science group