Pemanfaatan MetodeItemBased Collaborative Filtering Untuk Rekomendasi Wisata Di Kabupaten Malang
DOI:
https://doi.org/10.32815/jitika.v13i2.70Keywords:
tourist, recommendations system, item based collaborative filteringAbstract
Tourist information in Malang district has not been widely spread on the internet, making it difficult for tourists to determine tourist destination in Malang district that will be visited. Therefore, this recommendation system was built to provide information about tourism in Malang district using the item based collaborative filtering method. The item based collaborative filtering method has the advantage of being able to increase the accuracy of the resulting object recommendations. Results from the questionnaire test that has been done, it is obtained that the tourism recommendation system is useful with the benefit level reaching 86.35% and in the item based collaborative filtering method test using the manual method in Excel and in the system produces the same predictive value namely prediction 1 with a value of 3.562, prediction 2 with a value of 3.287, and prediction 3 with a value of 1.896.
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References
Xeu feng, he Xiangnan, Wang Xiang, Xu Jiandong, Liu Kai and Hong Richang. Deep Item-based Collaborative Filtering for Top-N Recommendation. Journal ACM transactions on information system (TOIS), New York. 2018.
Wahyo tri bambang dan anggriawan widya angga. System rekomendasi wisata se-malang raya menggunakan metode hybrid content based dan collaborative. Jurnal system informasi STMIK Asia Malang. 2015.
Mustofa Rizaku Agus. Sistem Rekomendasi Wisata Di Kediri Menggunakan Metode Item Based Collaborative Filtering.Tugas Akhir Sekolah Tinggi Manajemen Informatika Dan Komputer Asia. Malang. 2018.
Song Jieun And Kim Bum Seoung. Content-based filtering for recommendation systems using multiattribute networks. Journal expert system with application. 2017.
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