Autors: Ujkani, B. T., Minkovska, D. V., Stoyanova, L. Y. Title: A recommender system for WordPress themes using item-based collaborative filtering technique Keywords: WordPress, filter, recommender References Issue
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Цитирания (Citation/s):
1. Chornous, G., Nikolskyi, I., Wyszyński, M., Kharlamova, G., Stolarczyk, P., A hybrid user-item-based collaborative filtering model for e-commerce recommendations, Journal of International Studies, 14(4), pp. 157-173, 2021 - 2021 - в издания, индексирани в Scopus или Web of Science
2. Divyesh Gohel, Pratik Vanjara, Recommender System: Techniques, Comparison & Solutions, 2022 IEEE 7th International conference for Convergence in Technology (I2CT), April 2022, DOI: 10.1109/I2CT54291.2022.9824480 - 2022 - в издания, индексирани в Scopus или Web of Science
3. Fajar Rohman Hariri, Lingga Wahyu Rochim, Sistem Rekomendasi Produk Aplikasi Marketplace Berdasarkan Karakteristik Pembeli Menggunakan Metode User Based Collaborative Filtering, November 2022, Teknika 11(3):208-217, DOI: 10.34148/teknika.v11i3.538 - 2022 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
4. Kustija, J., Oktadianingsih, R., Creating E-Modules Basic Electricity And Electronic Courses Based On Wordpress For Vocational School Students, ISMEE 2021 - 2021 3rd International Symposium on Material and Electrical Engineering Conference: Enhancing Research Quality in the Field of Materials and Electrical Engineering for a Better Life, pp. 343-347, ISBN 978-166542362-5, DOI 10.1109/ISMEE54273.2021.9774144 - 2021 - в издания, индексирани в Scopus или Web of Science
5. Malim Muhammad, Sigit Sugiyanto, Item Based Collaborative Filtering Based on Highest Item Similarity, June 2021, International Journal of Artificial Intelligence Research 6(1), DOI: 10.29099/ijair.v6i1.310 - 2021 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
Вид: пленарен доклад в международен форум, публикация в реферирано издание, индексирана в Scopus и Web of Science