Research on Customized Indoor Route Recommendation

Hong Wei Jia; Fang Zhao

doi:10.4028/www.scientific.net/AMM.470.753

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 470Research on Customized Indoor Route Recommendation

Research on Customized Indoor Route Recommendation

Abstract:

Research in this paper focuses on route recommendation for customers in shopping malls for a LBS(Location-based service ) system. Besides the shopping places selected by a customer, this system can recommend shopping places according to customers history record and similar customers history record analysis. In addition, the length of all routes between two walking destinations, and the traffic density on the routes are two primary factors when route optimization is done in the system. The algorithm referred above have been implemented. A large number of testing showed that the algorithm was efficient to meet the actual need. !

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Periodical:

Applied Mechanics and Materials (Volume 470)

Pages:

753-757

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.470.753

Citation:

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Online since:

December 2013

Authors:

Hong Wei Jia*, Fang Zhao

Keywords:

Flow Density, Recommendation, Relevance, Route Optimization, Time Weight

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* - Corresponding Author

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