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Institutional Repository | Satya Wacana Christian University: Social Common Interests di dalam Social Media berbasis AgentMatcher Architecture

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Academic year: 2017

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Social Common Interests

di dalam

Social Media

berbasis

AgentMatcher

Architecture

1)

Prima Nugraha, 2) Hendry Fakultas Teknologi Informasi Universitas Kristen Satya Wacana Jl. Diponegoro 52-60, Salatiga 50711, Indonesia

Email: 1) [email protected], 2) [email protected]

Abstract

With the recent growth of activities on social media like Facebook, Twitter, or Youtube, discovering social common interests become more important due to its usefulness to help people connect each other with the same interests, and encourage people to contribute and share more contents. This paper proposed AgentMatcher Architecture to discovered social common interest, especially on Facebook. With AgentMatcher, similarities between users based on their favorites music, movies, and book could be found. Each user will be contributes to generate a perfect tree, which is the base on similarities calculation. Each node of perfect tree have weights, that could vary depends on the number of the users.

Keyword: Social Common Interest, AgentMatcher Architecture, Weighted Similarity Tree, similarity measure

Abstrak

Seiring meningkatnya aktivitas di social media seperti Facebook, Twitter, atau Youtube

maka pencarian social common interest menjadi semakin penting karena mampu

menghubungkan user dengan minat yang sama, dan mendorong user untuk lebih

berkontribusi dalam merekomendasikan konten yang sesuai dengan minat. Penelitian ini

menerapkan AgentMatcher Architecture untuk menemukan social common interest,

khususnya di Facebook. Dengan menggunakan AgentMatcher Architecture dapat dicari

similaritas antar user berdasarkan musik, film, dan buku yang digemari. Setiap user ini

akan berkontribusi dalam pembentukan sebuah perfect tree yang menjadi basis

perhitungan similaritas antar user. Setiap node pada perfect tree memiliki bobot yang

dapat berubah tergantung pada jumlah user yang ada.

Kata Kunci: Social Common Interest, AgentMatcher Architecture, Weighted Similarity Tree, similarity measure

1) Mahasiswa Fakultas Teknologi Informasi Jurusan Teknik Informatika, Universitas Kristen Satya Wacana

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