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    Chapter and Conference Paper

    Reinforcement Learning in Information Cascades Based on Dynamic User Behavior

    This paper studies the Influence Maximization problem based on information cascading within a random graph, where the network structure is dynamically changing according to users’ uncertain behaviors. The Dis...

    Mengnan Chen, Qipeng P. Zheng, Vladimir Boginski… in Computational Data and Social Networks (2019)

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    Chapter and Conference Paper

    A Recommender System for Mobile Commerce Based on Relational Learning

    Recommender systems are intelligent tools to extract useful information from a large collection of online data. They have been widely used in various fields, including the recommendation of music, movies, docu...

    Shengnan Chen, Hongyan Qian, Jiayi Gu in Multi-disciplinary Trends in Artificial In… (2015)

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    Chapter and Conference Paper

    A Virtual Informal Learning System for Cultural Heritage

    Computer graphics and digital technologies have opened up a myriad of ways for both preservation and transfer of cultural heritage information. The digital storage systems, digital lab notebooks and virtual mu...

    Shengnan Chen, Zhigeng Pan, Mingmin Zhang in Transactions on Edutainment VII (2012)