Susanto, Agus (2020) IMPLEMENTASI SISTEM REKOMENDASI MENGUNAKAN PENDEKATAN COLLABORATIVE FILTERING DAN ALGORITMA SLOPE ONE PADA SISTEM INFORMASI PENJUALAN. Tugas Akhir thesis, University of Technology Yogyakarta.
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Abstract
The recommendation system is a personalization tool that provides users with an information list of items that suit each user’s expectation. However this abundant information does not suit the needs of a buyer so it is important to filter information of certain people with the aim providing information on goods (offered by online stores) that really matches their needs. Due to these problems, the personalization recommendation system is currently important because the personalization recommendation system can analyze user needs based on the user's purchase trail which will later become feedback for the system to recommend sales information. The results obtained after the recommendation system uses the Collaborative Filtering approach and the Slope One Algorithm is applied to be able to predict the value of the product rating with an average value of 74 per member data. Hence, it can be said that the Collaborative Filtering approach and the Slope One algorithm can be used as a recommendation system to analyze the predictive value of product ratings. Keywords: personalization web, recommender system, collaborative filtering, slope one
| Item Type: | Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir) |
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| Subjects: | T Technology > T Technology (General) |
| Divisions: | Fakultas Sains Dan Teknologi > S1 Informatika |
| Depositing User: | Kaprodi S1 Informatika UTY |
| Date Deposited: | 13 Oct 2020 02:26 |
| Last Modified: | 13 Oct 2020 02:26 |
| URI: | http://eprints.uty.ac.id/id/eprint/5746 |
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