SISTEM REKOMENDASI MUSIK MENGGUNAKAN METODE CONTENT-BASED FILTERING DAN ALGORITMA TERM FREQUENCY-INVERSE DOCUMENT FREQUENCY (TF-IDF).

Search by :

ALL Author Subject ISBN/ISSN Advanced Search

Last search:

Image of SISTEM REKOMENDASI MUSIK MENGGUNAKAN METODE CONTENT-BASED FILTERING DAN ALGORITMA TERM FREQUENCY-INVERSE DOCUMENT FREQUENCY (TF-IDF).

Skripsi

SISTEM REKOMENDASI MUSIK MENGGUNAKAN METODE CONTENT-BASED FILTERING DAN ALGORITMA TERM FREQUENCY-INVERSE DOCUMENT FREQUENCY (TF-IDF).

Azhari, Ahmad - Personal Name;

The development of music streaming platforms has created a "paradox of choice" phenomenon, where the abundance of music options makes it difficult for users to find songs that match their preferences. This research develops a music recommendation system using Content-Based Filtering method and Term Frequency-Inverse Document Frequency (TF-IDF) algorithm to address this issue. The study aims to design a system capable of analyzing song characteristics and providing personalized music recommendations. Content-Based Filtering is used to identify song feature similarities, while TF-IDF helps extract and weight representative features. Cosine similarity is utilized to measure the similarity between songs. The system was tested using a music dataset with variations in size from 5,000 to 25,000 songs. Test results show excellent performance, with high precision, recall, and F1 scores, especially at thresholds of 0.3-0.4. Resulting average value for precision of 0.90, recall 0.77, and f1 score 0.80. The research proves that this approach effectively provides accurate recommendations across genres and artists. The study concludes that Content-Based Filtering and TF-IDF were successfully implemented in the music recommendation system, with significant potential to enhance user experience on music streaming platforms.

Availability

Central Library (REFERENS) T1629812024

T162981

Available but not for loan - Not for Loan

Detail Information

Series Title: -
Call Number: T1629812024
Publisher: Indralaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2024
Collation: xv, 87 hlm.; ilus.; 29 cm
Language: Indonesia
ISBN/ISSN: -
Classification: 004.015 107
Content Type: Text
Media Type: unmediated
Carrier Type: other (computer)
Edition: -
Subject(s): Prodi Teknik Informatika
Prinsip Matematika dalam Ilmu Komputer
Specific Detail Info: -
Statement of Responsibility: MURZ

Other version/related

Title	Edition	Language
OPTIMASI SISTEM REKOMENDASI BUKU DENGAN METODE CONTENT-BASED FILTERING	-	id

File Attachment

SISTEM REKOMENDASI MUSIK MENGGUNAKAN METODE CONTENT-BASED FILTERING DAN ALGORITMA TERM FREQUENCY-INVERSE DOCUMENT FREQUENCY (TF-IDF)

Comments

You must be logged in to post a comment