A constraint-aware optimized path recommender in a crowdsourced environment
AICCSA, pp. 1-8, 2015.
Recommending an optimized path for a large crowd poses a unique challenge to existing routing algorithms due to the interactions between users and the dynamic changes over road networks. Industries, researchers and end users show an enormous interest in crowdsourced data comprising social networks and user-generated content to remain upda...More
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