曾伟
17曾伟 电子科技大学副教授。一共发表学术论文14篇，以第一作者发表学术论文10篇，其中6篇SCI检索论文，论文发表期刊影响因子最高5.578，总的影响因子20.72。长期从事推荐系统的研究工作，研究内容包括：推荐系统多样性、数据稀疏性和推荐网络结构分析。擅长于算法设计、数值分析和建模。多次到香港、海外知名高校访问，例如香港浸会大学、华沙大学、瑞士弗里堡大学、罗马大学。一共主持了两项国际项目和一项国家自然科学基金项目：On the diversity Problem of Recommender Systems (EG57-092011)、Sino Swiss Science and Technology Cooperation Program Follow-up Grants (TE-70382)和推荐系统的信息核挖掘及其应用研究(61502078)，作为主研参与了多项国家科学自然基金项目。目前从事的工作主要包括：个性化推荐、国家GDP预测、大数据金融。金融大数据的研究内容包括金融产品个性化营销和金融风险预测预警，目前已服务于中国银行、建设银行、民生银行和成都银行等多家金融机构。
基本信息
- 中文名
曾伟
- 职业
教师
- 职称
副教授
基本内容
论文列表
研究项目
1. On the diversity Problem of Recommender Systems （EG57-092011），瑞士联邦政，2012 –2013。
2.Sino Swiss Science and Technology Cooperation Program Follow-up Grants（TE-70382），瑞士联邦政府，2014. 7 – 2014. 9。
3. 推荐系统的信息核挖掘及其应用研究（61502078），国家科学自然基金，2016-2018。
4. 大数据金融，民生银行，主持，2014-2015
5. 个性化营销，中行四川省分行，主持，2016-2017
6. 风险预警，成都银行，主持，2015-2016
[1] Wei Zeng, An Zeng, Hao Liu, Ming-sheng Shang and Tao Zhou, Uncovering the information core in recommender systems, Scientific Report 4: 6140. (SCI, IF=5.578, AN6OO)
[2] Wei Zeng, An Zeng, Ming-sheng Shang, Yi-cheng Zhang, Information filtering in sparse online systems: recommendation via semi-local diffusion, PLoS ONE 8: e79354. (SCI, IF=3.52, 256KH)
[3] Wei Zeng, An Zeng, Hao Liu, Ming-sheng Shang and Yi-cheng Zhang, Similarity from multi-dimensional scaling: solving the accuracy and diversity dilemma in information filtering, PLoS ONE. (SCI, IF=3.52)
[4] Wei Zeng, Yuxiao Zhu, Linyuan Lü and Tao Zhou, Negative ratings play a positive role in information filtering, Physica A,390: 4486-4493 (SCI, IF=1.722, 829RP)
[5] Wei Zeng, An Zeng, Ming-sheng Shang and Yi-cheng Zhang, Membership in social networks and the application in information filtering, The European Physical Journal B, 86: 375. (SCI, IF=1.483, 226EJ)
[6] Wei Zeng, Ming-Sheng Shang, Qian-Ming Zhang, LinYuan Lü, Tao Zhou, Can dissimilar users contribute to accuracy and diversity of personalized recommendation? International Journal of Modern Physics C (IJMPC), 2010, 21: 1217-1227（SCI, IF=1.125）
[7] Wei Zeng and Li Chen, Heterogeneous Data Fusion via Matrix Factorization for Augmenting Item, Group and Friend Recommendations, The 28th ACM Symposium On Applied Computing, SAC 2013, Coimbra, Portugal, March 18 - 22, 2013. （EI检索）
[8] Wei Zeng and Li Chen. Recommending Interest Groups to Social Media Users by Incorporating Heterogeneous Resources. In Proceedings of 26th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE’13), pages 361-371, Amsterdam, Netherlands, June 17-21, 2013. (EI检索)
[9] Li Chen and Wei Zeng and Quan Yuan, A unified framework for recommending items, groups and friends in social media environment via mutual resource fusion, Expert Syst. Appl. 40: 2889-2903. (SCI, IF=1.965, 111LN)
[10] Ming-Sheng Shang, LinYuan Lü, Wei Zeng, Tao Zhou and Yi-Cheng Zhang, Relevance is more significant than correlation: Information filtering on sparse data. Europhysics Letters, 2009, 88:68008（SCI, IF=2.269）