Personalized news recommendation using classified keywords to capture user preference

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Deep Neural Networks for YouTube Recommendations (2016, methodology): “Neural networks are used for recommending news in [17], citations in [8] and review ratings in [20].”
Cross-domain Recommendation via Deep Domain Adaptation (2018, background): “Deep neural networks are also used for content-based ltering: music recommendation [27], news recommendation [26], and movie recommendation [6].”
Recommendation system based on deep learning methods: a systematic review and new directions (2019, methodology): “Oh et al. (2014) utilized the DBN model for analyzing user preferences for news recommendation.”
News recommender systems - Survey and roads ahead (2018, unknown): “[140] 2014 CB User Profiling Unknown Hit Rate Offline Sadhasivam et al.”
A review on deep learning for recommender systems: challenges and remedies (2018, methodology): “While Kyo-Joong et al. (2014) classify the keywords of news and articles to capture user preferences, Ruocco et al. (2017) track user sessions to improve news recommendation quality. Wang et al. (2017) study dynamic deep models for editor or article recommendation task. Shin et al. (2015) propose a ”