Authors:

Anak Agung Aditya Nugraha, Ngurah Agus Sanjaya ER

Abstract:

“The growing popularity of diecast car collections has created a demand for efficient recommendation systems to assist collectors in discovering new products. This study focuses on the development of a content-based filtering (CBF) recommendation system for diecast car products. The system employs the TF-IDF (Term Frequency-Inverse Document Frequency) and cosine similarity techniques to calculate the relevance between products and user preferences. By analyzing the textual features of diecast car products, such as brand, model, and specifications, the CBF system generates personalized recommendations based on similarity scores. The evaluation of the system’s performance demonstrates its effectiveness in providing accurate and relevant recommendations, which enhance the user experience and facilitate the exploration of the diecast car market. Keywords: Content-Based Filtering, Diecast cars, Recommendation System, TF-IDF, Cosine Similarity”

Keywords

Content-Based Filtering, Diecast cars, Recommendation System, TF-IDF, Cosine Similarity

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PDF:

https://jurnal.harianregional.com/jnatia/full-102680

Published

2023-07-17

How To Cite

ADITYA NUGRAHA, Anak Agung; SANJAYA ER, Ngurah Agus. Penyusunan Sistem Rekomendasi Produk Diecast Mobil Dengan Metode Content-Based Filtering (CBF).Jurnal Nasional Teknologi Informasi dan Aplikasnya, [S.l.], v. 1, n. 3, p. 973-976, july 2023. ISSN 3032-1948. Available at: https://jurnal.harianregional.com/jnatia/id-102680. Date accessed: 08 Jul. 2024.

Citation Format

ABNT, APA, BibTeX, CBE, EndNote - EndNote format (Macintosh & Windows), MLA, ProCite - RIS format (Macintosh & Windows), RefWorks, Reference Manager - RIS format (Windows only), Turabian

Issue

Vol 1 No 3 (2023): JNATIA Vol. 1, No. 3, Mei 2023

Section

Articles

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License