Agent-based architecture for context-aware and personalized event recommendation
作者：
Highlights：
• We propose an agent-based architecture for providing contextualized recommendation.
• Personalized recommendation at the pervasive university context is provided.
• We use a semantic spreading activation algorithm to learn user patterns.
• The architecture is validated with the implementation of eAgora? application.
摘要
•We propose an agent-based architecture for providing contextualized recommendation.•Personalized recommendation at the pervasive university context is provided.•We use a semantic spreading activation algorithm to learn user patterns.•The architecture is validated with the implementation of eAgora? application.
论文关键词：Multiagent system,Ontology,Personalized information,Pervasive university,Spreading activation
论文评审过程：Available online 19 August 2013.
论文官网地址：https://doi.org/10.1016/j.eswa.2013.07.081
