Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Gusti Ayu Putri Saptawati"'
Publikováno v:
Journal of ICT Research and Applications, Vol 17, Iss 2 (2023)
Dynamic heterogeneous graphs can represent real-world networks. Predicting links in these graphs is more complicated than in static graphs. Until now, research interest of link prediction has focused on static heterogeneous graphs or dynamically homo
Externí odkaz:
https://doaj.org/article/31b4e56558a14168b461c1d9adaac796
Publikováno v:
IT Journal Research and Development, Vol 6, Iss 1, Pp 1-16 (2021)
Increasing number of internet users today, the use of e-commerce becomes a very vital need. One of the keys that holds the success of the e-commerce system is the recommendation system. Collaborative filtering is the popular method of recommendation
Externí odkaz:
https://doaj.org/article/6ecc18d96e3148e08adf51b18708c9e7
Publikováno v:
2022 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS).
Autor:
Gusti Ayu Putri Saptawati
Publikováno v:
International Journal on Electrical Engineering and Informatics. 11:822-832
Publikováno v:
2021 International Conference on Data and Software Engineering (ICoDSE).
Publikováno v:
2021 International Conference on Data and Software Engineering (ICoDSE).
Publikováno v:
2021 8th International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA).
Publikováno v:
2021 8th International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA).
Publikováno v:
2021 8th International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA).
Publikováno v:
IT Journal Research and Development; Vol. 6 No. 1 (2021); 1-16
IT Journal Research and Development, Vol 6, Iss 1, Pp 1-16 (2021)
IT Journal Research and Development, Vol 6, Iss 1, Pp 1-16 (2021)
Increasing number of internet users today, the use of e-commerce becomes a very vital need. One of the keys that holds the success of the e-commerce system is the recommendation system. Collaborative filtering is the popular method of recommendation