Implementasi algoritma item-based collaborative filtering dan ontologi movie untuk situs rekomendasi film

Witarsah, Jeffry Steward (2014) Implementasi algoritma item-based collaborative filtering dan ontologi movie untuk situs rekomendasi film. Bachelor Thesis thesis, Universitas Multimedia Nusantara.

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Abstract

Sistem rekomendasi adalah sebuah aplikasi yang menggunakan pengetahuan untuk membantu pengguna mengambil keputusan. Salah satu cara untuk memberikan rekomendasi adalah mencocokkan deskripsi item dengan profil pengguna. Namun terkadang rekomendasi yang diberikan tidak sesuai dengan selera pengguna. Penelitian ini bertujuan untuk mengimplementasikan Item-based Collaborative Filtering dan Ontologi Movie. Hasil uji coba menunjukkan bahwa Item-based Collaborative Filtering berhasil memberikan rekomendasi yang lebih baik tanpa mengetahui profil pengguna serta mengurangi tingkat kesalahan prediksi hingga 0.62 rating. Aplikasi ini diimplementasikan dengan Ontologi Movie untuk memberikan informasi film yang terinci pada situs rekomendasi film.

Item Type: Thesis (Bachelor Thesis)
Subjects: 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 005 Computer Programming > 005.2 Programming for Specific Computers, Algorithm, HTML, PHP, java, C++
000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 006 Special Computer Methods > 006.3 Artificial Intelligence, Machine Learning, Pattern Recognition, Data Mining
700 Arts and Recreation > 770 Photography, Computer Art, Film, Video > 770 Photography, Computer Art, Cinematography, Videography, Film, Movie
Divisions: Faculty of Engineering & Informatics > Informatics
Depositing User: Administrator UMN Library
Date Deposited: 31 Jul 2017 05:20
Last Modified: 27 Jan 2023 01:42
URI: https://kc.umn.ac.id/id/eprint/1646

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