SISTEM REKOMENDASI: BUKU ONLINE DENGAN METODE COLLABORATIVE FILTERING
DOI:
https://doi.org/10.34151/technoscientia.v7i1.612Keywords:
Sistem Rekomendasi, Collaborative Filtering, Buku OnlineAbstract
The book is a source of information regarding all aspects of life, especially education. However, low interest in reading among the public is a major issue in education today. Recommendation systems can help recommend the reader to more easily obtain information about the books to be read. Therefore, in this study made an online book recommendation system using Collaborative Filtering. Collaborative Filtering is one of the methods that can be used in making the recommendation system. The results of this study showed that the average value of the MAE (Mean Absolute Error) on trial 1 (1.064) is smaller than 2 trials (1.21), 4 trials (2,474) and test 5 (3.526). This shows that the more the amount of data used and if there is a user who has never rate a, then the resulting system is relatively inaccurate and generate recommendations if using Collaborative Filtering bad.
References
Lam, S. And Riedl, J. (2004). Shilling recommender systems for fun and profit. In Proceedings of the 13th InternationalWWW Conference. New York..
Li, Qing and Kim, Byeong Man 2002. An Approach for Combining Content-based and Collaborative Filters. Departement of Computer Sciences, Kumoh National Institute of Technology.
Sarwar, Badrul et al. 2001. Item-based Collaborative Filtering Recommender System Algorithm. GroupLens Research Group/Army HPC Research Center, Department of Computer Science and Engineering, University of Minnesota. Mienneapolis.
Uyun, S. Fahrurrozi, I. dan Mulyanto, A. 2011. Item Collaborative Filtering untuk Rekomendasi Pembelian Buku secara Online. JUSI, Vol. 1, No. 1 ISSN 2087-8737.