A Double-Filtration Method of Recommendation for Automobile After-Sales Service

Huai Jie You; Yan Jun Gui; Wei Li

doi:10.4028/www.scientific.net/AMR.971-973.2482

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 971-973A Double-Filtration Method of Recommendation for...

A Double-Filtration Method of Recommendation for Automobile After-Sales Service

Abstract:

Information overload has made it more difficult for users to get the service they need. This paper presented a double-filtration method of recommendation. The method built the respective model of automobile after-sales service and user, and achieved the goal of associating users’ direct demands and their preferences with filter conditions in recommendation. Experimental result shows that the method is feasible and the effect is good.

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Periodical:

Advanced Materials Research (Volumes 971-973)

Pages:

2482-2485

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.971-973.2482

Citation:

Cite this paper

Online since:

June 2014

Authors:

Huai Jie You*, Yan Jun Gui, Wei Li

Keywords:

Automobile After-Sales Service, Ontology, Recommendation, User Preference

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* - Corresponding Author

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