论文信息 - Personalized Travel Itinerary Recommendation Service based on collaborative filtering and IEC

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 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.

Li Ma | Jianjun Wang | Cong Li | Qing Lu

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