Determination of Film Recommendations using the Generalized Sequence Pattern (GSP) Association Method
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Generalized Sequential Pattern,
Association Mining,
film recomendation
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Abstract
Along with the development of the times, films are used as a medium of communication and as a medium of entertainment that can be watched by fans everywhere. The high level of film enthusiasts makes viewing patterns that can be used as recommendation data. Besides, this system can provide benefits to the company concerned. This study used the Generalized Sequential Pattern (GSP) Algorithm with the Association Mining method. The primary function is to find the sequence or sequential of a set of attributes that often appear together to see the results to find out the recommendation data information after the previous film runs out.
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References
F. H. Gunawan, Alex Xandra Albert Sim, M Hawari Simanullang, M Firkhan Siregar, “Pengembangan Aplikasi Market Basket Analysis Menggunakan Algoritma Generalized Sequential Pattern pada Supermarket,†in Seminar Nasional Aplikasi Teknologi Informasi (SNATI), 2015, pp. 1–6, [Online]. Available: https://journal.uii.ac.id/Snati/article/view/3527.
E. Muningsih, “PENERAPAN METODE ASOSIASI GSP DAN APRIORI UNTUK STOK DAN REKOMENDASI PRODUK,†Konf. Nas. Ilmu Sos. Teknol., pp. 412–416, 2017.
A. Malau, E. Buulolo, and K. Ulfa, “APLIKASI DATA MINING MENGGUNAKAN ALGORITMA GENERALIZED SEQUENTIAL PATTERN (GSP) UNTUK MENENTUKAN ATURAN ASSOSIASI PADA TRANSAKSI PEMINJAMAN BUKU DI PERPUSTAKAAN STMIK BUDIDARMA MEDAN,†Pelita Inform. Inf. dan Inform., vol. 6, no. 4, pp. 206–209, 2018.
J. Han, J. Pei, Y. Yin, and R. Mao, “Mining frequent patterns without candidate generation: A frequent-pattern tree approach,†Data Min. Knowl. Discov., vol. 8, no. 1, pp. 53–87, 2004, doi: 10.1023/B:DAMI.0000005258.31418.83.
F. Gorunescu, Data Mining: Concepts, models and techniques. 2011.
R. Agrawal and R. Srikant, “Fast Algorithms for Mining Association Rules in Large Databases,†J. Comput. Sci. Technol., vol. 15, no. 6, pp. 487–499, 1994, doi: 10.1007/BF02948845.
R. Srikant and R. Agrawal, “Mining sequential patterns: Generalizations and performance improvements,†in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1996, vol. 1057 LNCS, pp. 3–17, doi: 10.1007/bfb0014140.