HYPNER: a hybrid approach for personalised news recommendation

• 主要な著者: Darvishy, Asghar, Ibrahim, Hamidah, Sidi, Fatimah, Mustapha, Aida
• フォーマット: 論文
• 言語: English
• 出版事項: Institute of Electrical and Electronics Engineers 2020
• オンライン･アクセス: http://psasir.upm.edu.my/id/eprint/89241/1/NEWS.pdf; http://psasir.upm.edu.my/id/eprint/89241/; https://ieeexplore.ieee.org/document/9026823

A personalised news recommendation system extracts news set from multiple press releases and presents the recommended news to the user. In an effort to build a better recommender system with high accuracy, this paper proposes a personalised news recommendation framework named Hybrid Personalised NEw...