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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...
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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...
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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...