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Personalized Travel Itinerary Recommendation Service based on collaborative filtering and IEC

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4 Author(s)
Cong Li ; Sch. of Comput. Sci., Sichuan Normal Univ., Chengdu, China ; Jianjun Wang ; Li Ma ; Qing Lu

Personalized Travel Itinerary Recommendation Service (PTIRS) is a hot research problem in E-travel information management currently. To improve the problem, in this paper a PTIRS method based on collaborative Altering and IEC is proposed. Firstly the scale of travel itinerary sample set is reduced by collaborative Altering; secondly an IEC algorithm called IMAGA is used to accelerate convergence speed for alleviating the phenomena "user estimating tiredness"; Anally the most satisfactory travel itinerary can be achieved for target user. Simulating experiment show the validity of the proposed method.

Published in:

Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on

Date of Conference:

16-18 April 2010