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The Design And Implementation Of Personalized Guide System For Technical Sharing Resources

Posted on:2015-08-16Degree:MasterType:Thesis
Country:ChinaCandidate:B JiangFull Text:PDF
GTID:2298330452950127Subject:Communication and Information System
Abstract/Summary:PDF Full Text Request
With the rapid development of Internet technology and the deepening advance ofe-commerce applications, various types of technology resources could be shared andexchanged free in accordance with the laws of the market. Though users may beprovided with more choices with the growing scale of technological resources ande-commerce,the structure and types of resources may become more and morecomplicated. Users may be helpless and unable to grasp the key information facingmassive resources. At this time personalized shopping guiding is essential tohelp users. Personalized shopping guide could not only find useful information inmassive resource but also could enhance the quality of service of a e-commerce site.There are various kinds of IT resources sharing and sale platform, but they are not sopersonalized and easy to use. To solve the above problem, following work are done inthis paper.(1)Based on researching the method of Personalized shopping guide,combingthe features of Resources sharing technology, need analysis for personalized shoppingguide is done. Functional model of a personalized shopping guide to scientificresources sharing is designed.(2)User preference model is constructed by user’s personalized informationwhich is acquired from web mining and analyzing users’ preferenceinformation.Then we calculate the inter-related information of the resource and getthe resources association model. We get the user’s shopping guide scoring model bycalculate the Cosine similarity of the previous two models. Resource can berecommend in a personal way by using appropriate shopping guide algorithms. Aonline customer service shopping guide method using AJAX is proposed to enhancethe individuation of shopping guide method.(3)This paper presents a shopping guide quality evaluation model based onevidence theory to evaluate the quality of a personalized shopping guide. We design aquality evaluation index of shopping guide. Then we use proposed way to evaluatethe individuation of shopping guide method. (4)Function design of the system is done. We designed the detailed UMLmodeling for the Shopping guide Model Management Module. A method for onlinecustomer service shopping guide is designed and implemented.At last we use SSHframe implemented a personalized shopping guide methods.Personal shopping guide method in the sharing of technology resources isachieved in the above work. User can get access to the information in a personal way.At the same time by using the shopping guide quality evaluation method based onevidence theory,site managers can make improvements when finding deficiencies.
Keywords/Search Tags:Web Log, Individuation, AJAX, Shopping guide, Evidence Theory, UML
PDF Full Text Request
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