Personalized Travel Itinerary Recommendation Service based on collaborative filtering and IEC

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 b...

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Bibliographic Details
Published in2010 2nd IEEE International Conference on Information Management and Engineering pp. 161 - 164
Main Authors Cong Li, Jianjun Wang, Li Ma, Qing Lu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2010
Subjects
Collaboration
collaborative filtering
Computer science
Decision making
E-travel
Educational institutions
Filtering algorithms
IEC
Information filtering
Information filters
personalized travel itinerary
Power generation economics
Testing
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ISBN9781424452637
1424452635
DOI10.1109/ICIME.2010.5477771

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Summary: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.
ISBN:9781424452637
1424452635
DOI:10.1109/ICIME.2010.5477771