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Design of the tourism-information-service-oriented collaborative filtering recommendation algorithm

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4 Author(s)
Zhang Mu ; GIS & Tourism IT Laboratory, Shenzhen Tourism College of Jinan University, Guangdong Province, China ; Chen Shan ; Luo Jing ; Feng Lei

Personalized recommendation technology is one key application in modern Electronic commerce field with optimistic prospect. As the urgency of the use of recommendation technology in tourism industry, the authors try to design a collaborative filtering recommendation algorithm integrating with nearest neighbor recommendation and cluster analysis referring to national criteria “Classification, Investigation and Evaluation of Tourism Resource” on the base of existing collaborative filtering recommendation technology. Theoretical mechanism and realization method of this improved collaborative filtering recommendation algorithm will be also discussed.

Published in:

2010 International Conference on Computer Application and System Modeling (ICCASM 2010)  (Volume:13 )

Date of Conference:

22-24 Oct. 2010