The Research of Auto After-Sales Service Personalized Recommendation Based on LBS

Dong Lin Chen; Ling Chen; Yan Jun Gui

doi:10.4028/www.scientific.net/AMM.571-572.457

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 571-572The Research of Auto After-Sales Service...

The Research of Auto After-Sales Service Personalized Recommendation Based on LBS

Abstract:

Existing auto after-sales service recommendation only based on user' history behavior, and doesn't take user's real-time location into account, and the recommended result doesn’t meet user’s needs well. Aiming at the problem of traditional recommendation, put forward the personalized recommendation method based on LBS. This method takes the user as the core, by analyzing user's real-time behavior, historical behavior and the user's real-time geographic location, speculated the user's current needs, and recommend accurate information for them.

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Periodical:

Applied Mechanics and Materials (Volumes 571-572)

Pages:

457-460

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.571-572.457

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Cite this paper

Online since:

June 2014

Authors:

Dong Lin Chen*, Ling Chen, Yan Jun Gui

Keywords:

Auto After-Sales Service, Location-Based Services, Personalized Recommendation

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* - Corresponding Author

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