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A scalable knowledge graph embedding model for next point-of-interest recommendation in Tallinn city

author
statement of authorship
Chahinez Ounoughi, Amira Mouakher, Muhammad Ibraheem Sherzad & Sadok Ben Yahia
source
location of publication
Cham
publisher
year of publication
pages
p. 435–451
series
conference name, date
15th International Conference, RCIS 2021, May 11–14, 2021
conference location
Limassol, Cyprus
url
ISBN
978-3-030-75017-6
978-3-030-75018-3
scientific publication
teaduspublikatsioon
TTÜ department
language
inglise
subject term
keyword
node embedding learning
knowledge graph
point-of-interest
recommender system
location-based social networks
Reserch Group
Data science group
Ounoughi, C., Mouakher, A., Sherzad, M. I., Yahia, S. B. A scalable knowledge graph embedding model for next point-of-interest recommendation in Tallinn city // Research Challenges in Information Science : 15th International Conference, RCIS 2021, Limassol, Cyprus, May 11–14, 2021 : proceedings. Cham : Springer Nature, 2021. p. 435–451. (Lecture notes in business information processing ; 415). https://doi.org/10.1007/978-3-030-75018-3_29