1. 毕业设计（论文）的内容和要求
近几十年来，通信技术、互联网、移动互联网的不断发展，信息的采集、传播的速度和规模都达到了空前的水平，人类社会已从工业时代步入了信息时代。
在这个信息爆炸的时代，一个优秀的新闻推送移动应用可以为用户提供最新鲜、最真实、最客观和最权威的新闻内容。
因此，本课题将通过查阅各种资料，设计并开发一款个性化新闻推荐移动应用系统。
2. 参考文献
[1]孟祥武,刘树栋,张玉洁,胡勋.社会化推荐系统研究[J].软件学报,2015,26(06):1356-1372. [2]张宇,程久军.基于MapReduce的矩阵分解推荐算法研究[J].计算机科学,2013,40(01):19-21 36. [3]杨凯.基于Hadoop平台的个性化新闻推荐系统的设计与实现[D].北京交通大学,2019. [4]项亮.推荐系统实践[M].人民邮电出版社,2012. [5]李航.统计学习方法[M].清华大学出版社,2012. [6]唐瑞.基于内容的推荐与协同过滤融合的新闻推荐研究[D].重庆理工大学,2016. [7]彭菲菲,钱旭.基于用户关注度的个性化新闻推荐系统[J].计算机应用研究,2012,29(03):1005-1007. [8] Hao Wen, Liping Fang, Ling Guan. A hybrid approach for personalized recommendation of news on the Web. Expert Syst. Appl. 39(5): 5806-5814 (2012). [9] Ahmad A. Kardan, Mahnaz Ebrahimi. A novel approach to hybrid recommendation systems based on association rules mining for content recommendation in asynchronous discussion groups. Inf. Sci. 219: 93-110 (2013). [10] Miaomiao Li, Licheng Wang. A Survey on Personalized News Recommendation Technology. IEEE Access 7: 145861-145879 (2019). [11] Qiannan Zhu, Xiaofei Zhou, Zeliang Song, Jianlong Tan, Li Guo. DAN: Deep Attention Neural Network for News Recommendation. AAAI 2019: 5973-5980. [12] Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu, Xing Xie. Neural News Recommendation with Long- and Short-term User Representations. ACL (1) 2019: 336-345. [13] Chuhan Wu, Fangzhao Wu, Mingxiao An, Yongfeng Huang, Xing Xie. Neural News Recommendation with Topic-Aware News Representation. ACL (1) 2019: 1154-1159. [14] Chuhan Wu, Fangzhao Wu, Mingxiao An, Tao Qi, Jianqiang Huang, Yongfeng Huang, Xing Xie. Neural News Recommendation with Heterogeneous User Behavior. EMNLP/IJCNLP (1) 2019: 4873-4882.
