SISTEM REKOMENDASI DRAMA KOREA MENGGUNAKAN METODE USER-BASED COLLABORATIVE FILTERING
Main Article Content
Abstract
Korean drama is one of the entertainment that is very
popular with the public, be it among children, teenager,
adults and parents. There is a huge selection of dramas
to watch, however, viewers have limited time. Therefore,
a recommendation system is used to provide input to
viewers in choosing Korean drama series that suits their
respective profiles. This recommendation system is made
using the User-Based Collaborative Filtering method,
where the input of this method is in the form of rating
data provided by the user for a list of available Korean
dramas. Based on the results of interviews via video
calls and questionnaires, this Korean drama application
can provide different recommendation results based on
user ratings of Korean dramas.
Article Details
This work is licensed under a Jurnal Komunikasi Creative Commons Attribution-ShareAlike 4.0 International License.
References
Mydramalist, “Dramas Completed in 2019 list
(Korean).” [Online]. Available:
https://mydramalist.com/list/Y4aKrz6L.
[Accessed: 16-Sep-2020].
E. A. Laksana, “Collaborative Filtering dan
Aplikasinya,” J. Ilm. Teknol. Inf. Terap., vol. 1,
no. 2407–3911, pp. 36–40, 2014.
S. Sari and D. Tri Hendra, “Aplikasi
Rekomendasi Film menggunakan Pendekatan
Collaborative Filtering dan Euclidean Distance
sebagai ukuran kemiripan rating,” Semin. Nas.
Teknol. Inf. dan Komun. Terap., p. 2015, 2015.
Z. Johanyák and S. Kovács, “Distance based
similarity measures of fuzzy sets,” Proc. SAMI,
no. 1, pp. 265–276, 2005.
P. Grover, “Various Implementations of
Collaborative Filtering.” [Online]. Available:
https://towardsdatascience.com/variousimplementations-of-collaborative-filtering-
c6dfe0.