Sistem Rekomendasi Suku Cadang Berdasarkan Item Based Filtering
Replaceable spare part on workshop have many transaction and possibility thus recommender system is needed to simplify the selection process. We propose recommender system with item collaborative filtering, with high data sparsity. With Single Value Decomposition we reduce the matriks to improve the...
| Հիմնական հեղինակներ: | , , , |
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| Ձևաչափ: | Հոդված |
| Լեզու: | English |
| Հրապարակվել է: |
Universitas Kristen Maranatha
2021-04-01
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| Շարք: | JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) |
| Առցանց հասանելիություն: | https://journal.maranatha.edu/index.php/jutisi/article/view/3036 |
| Ամփոփում: | Replaceable spare part on workshop have many transaction and possibility thus recommender system is needed to simplify the selection process. We propose recommender system with item collaborative filtering, with high data sparsity. With Single Value Decomposition we reduce the matriks to improve the system and decrease “noise” value. Model will be evaluated using MAE, RMSE, and FCP metrics. The results of recommendation model are MAE = 1.2752, RMSE = 1.4882, dan FCP = 0.4947. |
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| ISSN: | 2443-2210 2443-2229 |