资源论文PARecommender: A Pattern-Based System for Route Recommendation

PARecommender: A Pattern-Based System for Route Recommendation

2019-11-26 | |  54 |   47 |   0

Abstract

Widely adoption of GPS-enabled devices generates massive trajectory data every minute. The trajectory data can generate meaningful traffific patterns. In this demo, we present a system called PARecommender, which predicts traffific conditions and provides route recommendation based on generated traffific patterns. We fifirst introduce the technical details of PARecommender, and then show several real cases that how PARecommender works

上一篇:Observability, Identifiability and Sensitivity of Vision-Aided Inertial Navigation

下一篇:Semi-Supervised Multimodal Deep Learning for RGB-D Object Recognition

用户评价
全部评价

热门资源

  • The Variational S...

    Unlike traditional images which do not offer in...

  • Learning to Predi...

    Much of model-based reinforcement learning invo...

  • Stratified Strate...

    In this paper we introduce Stratified Strategy ...

  • A Mathematical Mo...

    Direct democracy, where each voter casts one vo...

  • Rating-Boosted La...

    The performance of a recommendation system reli...