Multi-Aspect Aware Session-Based Recommendation for Intelligent Transportation Services

IEEE Transactions on Intelligent Transportation Systems(2021)

引用 60|浏览45
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摘要
In the intelligent transportation system, the session data usually represents the users’ demand. However, the traditional approaches only focus on the sequence information or the last item clicked by the user, which cannot fully represent user preferences. To address this issue, this paper proposes an Multi-aspect Aware Session-based Recommendation (MASR) model for intelligent transportation servi...
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关键词
Transportation,Data models,Machine learning,Navigation,Recurrent neural networks,Safety
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