| 英文标题 | Hybrid news recommendation algorithm combining social relation and tag information |
| 作者英文名 | Xia Hongbin, Liu Chunqin, Liu Yuan |
| 机构英文名 | 1.School of Digital Media,Jiangnan University,Wuxi Jiangsu 214122,China;2.Jiangsu Key Laboratory of Media Design & Software Technology,Wuxi Jiangsu 214122,China |
| 英文摘要 | Concerning the problem that data sparsity and user preferences quickly change for traditional news recommendation, this paper proposed a hybrid news recommendation algorithm combining social relations and tag information. Firstly, the algorithm utilized the social relationship and hashtag information in the user′s social network. Then it applied the LDA topic model to model user interest. Finally, the algorithm used a hybrid recommendation algorithm based on content and collaborative filtering to complete news recommendations. In the experiments, comparing with existing recommendation algorithms, the proposed algorithm can improve the precision by 10.7%, MRR by 4.1%, NDCG by 10%. The proposed algorithm can improve the accuracy and the quality of news recommendation algorithm effectively. |
| 英文关键词 | news recommendations; hybrid recommendation algorithm; social relation; hashtag |