Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research
ANUGRAH PRASETYA, RAJAWALI SHAKTIKA
Unknown Affiliation
Humanities Economics, Econometrics & Finance Education Social Sciences Other

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Sistem Rekomendasi Film Berbasis Konten Menggunakan Teknik Cosine Similarity dan TF-IDF AZMI, ANDRA HUSNUL; MAHARDIKA, NAUFAL INDRA; ANUGRAH PRASETYA, RAJAWALI SHAKTIKA; PUSPITA SARI, ANGGRAINI
Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research Vol. 1 No. 4 (2024): AGUSTUS-OKTOBER 2024
Publisher : UNIVERSITAS SERAMBI MEKKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/mister.v1i4.2206

Abstract

The goal of the research is to develop a content-based movie recommendation system that utilizes cosine similarity techniques to get better accuracy and relevance of recommendations to users.The methods used include text analysis of movie synopsis for feature extraction, representation vector generation, and cosine similarity calculation to determine the similarity between movies. Natural language processing is used to understand user preferences and compose recommendations accordingly.The results show that the developed recommendation system is able to enhance the accuracy of movie recommendations based on content, as well as provide a more personalized and relevant experience for users.
Co-Authors Anggraini Puspita Sari AZMI, ANDRA HUSNUL MAHARDIKA, NAUFAL INDRA