研究领域
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主要从事电子商务与商务智能、推荐系统和复杂网络分析等领域的研究。目前，在商务智能、数据挖掘、电子商务领域中已经发表相关论文20多篇。
论文成果
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Trust embedded Collaborative Deep Generative Model for Social Recommendation.The Journal of Supercomputing.2020(76):8801-8829
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基于网络拓扑结构的重要节点发现算法.运筹与管理.2019,28(7):91-99
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Neural variational collaborative filtering with side information for top-K recommendation.International Journal of Machine Learning and Cybernetics.2019,10(11):3273-3284
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Collaborative variational deep learning for healthcare recommendation.IEEE Access.2019(7):55679-55688
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A Trust-aware Neural Collaborative Filtering for E-learning Recommendation.Educational Sciences: Theory & Practice.2018,18(5):2217-2234
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邓晓懿.A hybrid collaborative filtering model with context and folksonomy for social recommendation.Ingénierie des systèmes d’information.2018,2018(5):139-157
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皇甫斐斐,邓晓懿.An Effective Recommendation Model using User Access Sequence and Context Entropy.ADVANCES IN MODELLING AND ANALYSIS B.2016:57-73
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邓晓懿.Combining Neighborhood Based Collaborative Filtering with Tag Information for Personalized Recommendation.International Journal of Multimedia and Ubiquitous Engineering.2015:277-288