Website Rekomendasi Anime Dengan Menggunakan Pendekatan Content-Based Filtering Berdasarkan Sinopsis

  • Arfal Razya Suhendra Universitas Udayana
  • I Gusti Ngurah Anom Cahyadi Putra, ST., M.Cs Universitas Udayana

Abstract

Today there are various kinds of Anime titles that can be found to be able to provide appropriate recommendations to Anime fans. A recommendation system is designed that can provide recommendations for Anime titles based on the similarity of the synopsis that has been read by users. The design of this Recommendation System uses a Content Based Filtering approach using the TFIDF method to obtain features that represent each synopsis which then produces a TFIDF matrix. The TFIDF matrix is then used as input to calculate the degree of similarity between synopsis. The results of the calculation of the degree of similarity become the basis for the formation of a function that can provide recommendations for Anime titles to users.

References

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Published
2022-11-25
How to Cite
SUHENDRA, Arfal Razya; PUTRA, ST., M.CS, I Gusti Ngurah Anom Cahyadi. Website Rekomendasi Anime Dengan Menggunakan Pendekatan Content-Based Filtering Berdasarkan Sinopsis. Jurnal Nasional Teknologi Informasi dan Aplikasinya (JNATIA), [S.l.], v. 1, n. 1, p. 451-458, nov. 2022. Available at: <https://ojs.unud.ac.id/index.php/jnatia/article/view/92538>. Date accessed: 26 jan. 2023.

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