News recommendation based on Web usage and Web content mining

Recommendation system for web article based on association rules and topic modelling

“…Such models can be extended by adding web content as a source for analyzing user behavior especially for the website that has an extensive content like news portal. The combination of both sources can make a significant improvement on the recommendation of news articles [19]. Semantic analysis [17] or Topic Modeling [20] often be used to analyze the semantic meaning of the content, so it can be combined with log data to enrich the sense of the pattern.…”

Recommendation system for web article based on association rules and topic modelling

“…The author presents the architecture of online recommendation in Web usage mining (OLRWMS) for improving the accuracy of classification by the interaction between classifications, evaluation, and the current user activates and user profile in the online phase of this architecture. Another recommendation system proposed by Destyaputri [17] used three-level recommendation system based on association rule discovery, news articles in the same category, and similarity between news articles. By combining collaborative filtering approach and content-based filtering, experiment results show that the technique produces reliable news recommendation.…”

“…Such models can be extended by adding web content as a source for analyzing user behavior especially for the website that has an extensive content like news portal. The combination of both sources can make a significant improvement on the recommendation of news articles [17]. Semantic analysis [18] or Topic Modeling [19] often be used to analyze the semantic meaning of the content, so it can be combined with log data to enrich the sense of the pattern.…”

Implicit Social Trust Dan Support Vector Regression Untuk Sistem Rekomendasi Berita

“…Membaca berita secara online merupakan salah satu cara yang populer untuk membaca artikel berita saat ini [1]. Berita online dipilih karena keterbaharuan dan akses yang lebih mudah daripada berita di surat kabar [2].…”