SISTEM REKOMENDASI DRAMA KOREA MENGGUNAKAN METODE USER-BASED COLLABORATIVE FILTERING

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William Kristianto
Dyah Erny Herwindiati
Janson Hendryli

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.

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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.