Personalized Travel Itinerary Recommendation Service based on collaborative filtering and IEC

Author

Li, Cong ; Wang, Jianjun ; Ma, Li ; Lu, Qing

Author_Institution

Sch. of Comput. Sci., Sichuan Normal Univ., Chengdu, China

fYear

2010

fDate

16-18 April 2010

Firstpage

161

Lastpage

164

Abstract

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.

Keywords

information filtering; information management; recommender systems; travel industry; IMAGA; PTIRS method; collaborative altering; collaborative filtering; e-travel information management; personalized travel itinerary recommendation service; travel itinerary sample set; user estimating tiredness; Collaboration; Computer science; Decision making; Educational institutions; Filtering algorithms; IEC; Information filtering; Information filters; Power generation economics; Testing; E-travel; IEC; collaborative filtering; personalized travel itinerary;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Chengdu

Print_ISBN

978-1-4244-5263-7

Electronic_ISBN

978-1-4244-5265-1

Type

conf

DOI

10.1109/ICIME.2010.5477771

Filename

5477771