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The Research Of An Electronic Commerce Recommendation System Based On Semantic Dictionary

Posted on:2013-02-07Degree:MasterType:Thesis
Country:ChinaCandidate:Z J YangFull Text:PDF
GTID:2218330371461762Subject:Computer software and theory
Abstract/Summary:PDF Full Text Request
Good customer buying experience is important to improve the competitiveness of critical e-commerce platform, more and more attention to domestic and international e-commerce platform. As e-commerce platform in the vast variety of goods, therefore, in e-commerce platform to provide targeted product recommendation mechanism to help customers quickly and accurately find the product to enhance the customer shopping experience is important. In this paper, the semantic dictionary, fuzzy logic in the application of e-commerce products were recommended in the study proposes a semantic-based e-commerce product recommendation system dictionary in order to improve the efficiency and accuracy of the product recommended.The main results of this work and are as follows:1.Recommended the establishment of a prototype system electronics goods semantic dictionary for customers to purchase goods provided support for semantic search and semantic similarity calculation using the semantic dictionary word semantic similarity calculation, provides support for the product recommended.2.The customer satisfaction of product representation. Different attributes of the product according to customers' degree of concern, proposed the concept of overall satisfaction of goods, and the use of fuzzy logic algorithm gives the satisfaction of goods quantitative expression, to provide support for the product recommended.3.Presents a calculation of merchandise to determine the overall satisfaction when the value of the attribute weights algorithm. Overall satisfaction is the focus of the goods according to the user satisfaction with the different attributes of goods recommended in the weight in different properties of the satisfaction of all commodities weighted value of computing to get satisfaction, determining the various properties in the computation of a composite commodity satisfaction when the value of the weight is very important. This paper presents a satisfaction with product attributes to determine the weights of the algorithm, the algorithm for all types of goods through the establishment of recommended weight matrix of factors used to calculate the overall product satisfaction.4.Electronics products recommended prototype system design and application simulation. Based on the above findings, build a prototype system electronics products recommended and simulated applications.
Keywords/Search Tags:recommendation system, semantic dictionary, commodity recommendation satisfaction, fuzzy logic, electronic commerce
PDF Full Text Request
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