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Irabela, Eliata Zefanya
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Automotive Engineering Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering

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Implementation of Content-Based Cosine Similarity Algorithm with TF-IDF and SBERT for Movie Recommendation Irabela, Eliata Zefanya; Norhikmah
Jurnal Sistem Cerdas Vol. 9 No. 1 (2026): April (In Progress)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v9i1.633

Abstract

The number of films continues to increase on streaming platforms often makes users confused in deciding which film to watch. To overcome this research develops content-based movie recommendation system. Representation of the film information obtained through the application of TF-IDF and SBERT to genre and synopsis data. Cosine similarity is used to calculate the closeness between representations. The performance system is then evaluated through the Precision@K, MAP@K, and Recall@K metrics. From the test results, hybrid approach shows better performance more stable than single method. With a MAP value reaching 0.95 Recall 0.95 dan Precission 0.71 . In the future, the development system will still possible by utilizing other types of data, including user interaction data.
Co-Authors Norhikmah