| News Recommendation System Based on Topic Embedding and Knowledge Embedding |
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| 作者姓名： | ZHANG Haojie SUN Hui QI Baiwen SHEN Zhidong |
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| 作者单位： | 1. Key Laboratory of Aerospace Information Security and Trusted Computing, Ministry of Education/School of Cyber Science and Engineering, Wuhan University;2. Zhongnan Hospital, Wuhan University;3. Engineering Research Center of Cyberspace, Yunnan University |
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| 摘 要： | News recommendation system is designed to deal with massive news and provide personalized recommendations for users. Accurately capturing user preferences and modeling news and users is the key to news recommendation. In this paper, we propose a new framework, news recommendation system based on topic embedding and knowledge embedding(NRTK). NRTK handle news titles that users have clicked on from two perspectives to obtain news and user representation embedding :1) extracting explicit and latent...
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