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曾伟

领域:新一代信息技术产业 学校:电子科技大学职称:副教授

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教育背景

工作经历

项目课题经历

. 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

论文、成果、著作等

[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) [11] Wei Zeng, Ming-Sheng Shang, Tie-Yun Qian, Useful acquiring ratings for collaborative filtering. 2009 IEEE Youth Conference on Information Computing and Telecommunication (YC-ICT '09), 483.(EI检索) [12] Wei Zeng and Ming-Sheng Shang, Effects of negative ratings on personalized recommendation. 2010 5th International Conference on Computer Science and Education (ICCSE), 375(EI检索) [13] Yu-Xiao Zhu, Wei Zeng and Qian-Ming Zhang, The effect of rating variance on personalized recommendation, 2010 5th International Conference on Computer Science and Education (ICCSE), 366(EI检索) [14] Qian-Ming Zhang, Ming-Sheng Shang, Wei Zeng, Yong Chen and Linyuan Lü, Empirical comparison of local structural similarity indices for collaborative-filtering-based recommender systems, Physics Procedia, 2010, 3: 1887-1896(EI检索)

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