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朱

朱婷婷 (Tingting Zhu)

university of oxford讲师
H指数:39
被引数:5,304

个人简介

"朱婷婷,女,现任商学院工商管理系讲师。主要从事消费者行为、数据挖掘、个性化推荐的研究,目前已在相关方向上发表相关论文与会议9篇,授权专利6项,主持国家自科青年基金和江苏省高校自科基金。对数据分析、文本挖掘、个性化推荐等有兴趣的老师与同学可以与我联系,互相交流学习! 教育经历: 2016.09-2021.12 合肥工业大学 管理科学与工程 硕博连读 2019.10-2020.11 圣路易斯华盛顿大学 数理统计 访问学者 2012.09-2016.06 南京农业大学 物流工程 学士 发表的论文与会议: 1.Tingting Zhu*, et al. Modeling the generative mechanism of personalized preferences from latent groups: A hierarchical nonparametric Bayesian method [J]. Knowledge-Based Systems, 2023, https://doi.org/10.1016/j.knosys.2023.110371 (中科院一区) 2.Tingting Zhu*, et al. Learning Personalized Preference: A Segmentation Strategy under Consumer Sparse Data [J]. Expert Systems with Applications, 2023: 119333. (中科院一区) 3.Tingting Zhu*. \"The Impact of Non-immersive Virtual Reality Technologies on Consumers’ Behaviors in real estate: A Website’s Perspective.\" 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (CCF-B会议) 4.Yezheng Liu, Tingting Zhu, Yuanchun Jiang*, and Xiao Liu. \"Service matchmaking for Internet of Things based on probabilistic topic model.\" Future Generation Computer Systems 94 (2019): 272-281.(中科院一区) 5. Tingting Zhu, et al. Topic discovery from short reviews based on data enhancement[J]. Intelligent Data Analysis, 2022, 26(2): 295-310. 6. Tingting Zhu, et al. Identifying and modeling the dynamic evolution of niche preferences[J]. Electronic Commerce Research and Applications, 2022, 52: 101117. (中科院二区) 7. Yezheng Liu, Tingting Zhu*, and Yuanchun Jiang. \"Purchase Prediction Based on a Non-parametric Bayesian Method.\" Proceedings of the 52nd Hawaii International Conference on System Sciences. 2019. 8.Yezheng Liu,, Fei Du, Jianshan Sun*, Thushari Silva, Yuanchun Jiang, and Tingting Zhu. \"Identifying social roles using heterogeneous features in online social networks.\" Journal of the Association for Information Science and Technology 70, no. 7 (2019): 660-674. 9. Yezheng Liu, Fei Du, Jianshan Sun*, Yuanchun Jiang, Jianmin He, Tingting Zhu, and Chunhua Sun. \"A crowdsourcing-based topic model for service matchmaking in Internet of Things.\" Future Generation Computer Systems 87 (2018): 186-197. 发明专利: 1. 考虑专家知识的交互式主题建模方法及装置,(第二发明人,导师一作) 2. 基于贝叶斯回归的利基产品推荐方法及装置,(第二发明人,导师一作) 3. 一种基于数据增强的主题建模方法,(第二发明人,导师一作) 4. 短文本数据增强方法、系统及检测认证服务平台,(第四发明人) 5. 利基项目推荐方法及装置,(第二发明人,导师一作) 6. 基于对象行为和主题偏好的对象划分方法及装置,(第二发明人,导师一作) 投稿与工作论文: 1. Temporal topic evolution detection and topic-level influencers identification in academic literature streams 2. 融合购买时间窗的个性化偏好发现与识别方法 3. 基于UGC的小众市场发现和潜在用户挖掘 4. 融合主题模型的检索平台的语义识别与匹配方法 5. Impact of Non-immersive Virtual Reality on Consumer Behavior: Renting vs Buying in online real state platform 暂无内容 暂无内容 暂无内容 暂无内容 暂无内容 var u_u20_pic = new ImageScale(\"u_u20_\",150,200,true,true); 暂无内容"

教育背景

  • 2019.10 – 2020.11

    圣路易斯华盛顿大学 访问学者 数理统计

  • 2016.09 – 2021.12

    合肥工业大学 硕博连读 管理科学与工程

  • 2012.09 – 2016.06

    南京农业大学 学士 物流工程

工作经历

  • 2022.01 – 至今

    商学院工商管理系

    讲师

荣誉奖项

暂无内容

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