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The Designing And Implementation Of Tourism Service Website

Posted on:2014-06-10Degree:MasterType:Thesis
Country:ChinaCandidate:Y ZhaoFull Text:PDF
GTID:2268330401465167Subject:Software engineering
Abstract/Summary:PDF Full Text Request
People’s living standards are getting better and better, the tourists become more andmore mature. The personalized services are the target they pursue when traveling. Moreand more tourists prefer individual travel. However,the mode of travel e-commerceservices for the majority of tourists has exposed many problems and has been unable tomeet customer demand. Therefore, be able to provide customers with personalizedservice tailored, new travel site came into being. Collect user data in order to achieveeffective implementation of personalized recommendation is one of the key steps, userdata, including the user’s browsing behavior, operant behavior, purchase behavior, basicuser information, such as through these data, the analysis of user interests grasp users tobuy tendency, enabling personalized recommendations activities. Therefore, under thenetwork environment, tourism e-commerce website competitiveness imperative theoriesand methods to enhance personalized service, has a very important theoretical andpractical significance.HRS travel services rely on a travel service network platform, the system isdivided into two parts. Foreground is based on personalized recommendation anddivided into hotels, travel blog module, SPECIAL, theme planning, business travel,interactive community. The background is mainly to manage the entire site, includingsystem maintenance, membership management subsystem management, websiteupdates, information feedback, hotels and other sub-functions. The personalizedrecommendation supports part mainly includes three parts, in fact, recommendedmodule of data resource module, travel plans, travel information retrieval module dataresource module is the latter two data support.This topic based personalized recommendation technology, data layer and effectiveuse of user operation data mining and discovery of user interest. Application layer, userdemand for travel developed hotel reservations, travel blog, Business Package, andmore. This system to meet the individual needs of the consumer, and providepersonalized service.
Keywords/Search Tags:Personalized recommendation, Travel services, E-commerce
PDF Full Text Request
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