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Research and Implementation of Web usage mining system of online registration recommended

Author: Wang
Tutor: LiJianPing
School: University of Electronic Science and Technology
Course: Applied Computer Technology
Keywords: Web usage mining Association rules Apriori algorithm Online registration recommended system
CLC: TP311.13
Type: Master's thesis
Year: 2010
Downloads: 84
Quote: 0
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Abstract


Along with the continuous development of Internet technology, e-commerce has made tremendous development. People enjoy e-commerce bring convenience, but also had the face of e-commerce sites on the commodities increasing, more and more difficult to find yourself the necessary goods. For businesses, they want to take advantage of e-commerce, it is necessary to better grasp the characteristics of the customer and market trends. This information has always been customer left on the web server log file analysis. Surfers every mouse click will leave a record in the log file, a large-scale e-commerce website at least a day to generate millions of records. The face of such a huge amount of data, the use of artificial methods impossible to get any information! In order to make better use of these data, we use the Web data mining technology for processing user usage patterns excavations, we can get the user access mode, visitors clustered using clustering techniques, and then click habits of the user in the cluster, select the cluster users to buy higher commodity Recommend to other users within the cluster; using Apriori algorithm in the cluster find association rules in a transaction database, according to the user's current shopping behavior to predict buying trends, and take the initiative to recommend, in order to increase the probability of several shopping site. Papers starting from the data mining, data mining technology research background, significance as well as domestic and foreign development status, and then for the specific circumstances of e-commerce, specifically mining techniques in e-commerce applications. Research process, mainly to study the research and realization of the significance of the association rules in data mining, Apriori algorithm as well as the classic association rules algorithm; commonly used in Web data mining techniques and analysis methods; well as e-commerce recommendation system based on browsing behavior the structure of the internal algorithms achieve significance and practical application. Web usage mining knowledge model, we use e-commerce recommendation system to provide customers with personalized recommendation service, can improve the sense of belonging and satisfaction of the customer site, and at the same time can increase the competitiveness of the site; enterprises through e-commerce site mined from the information, you can better grasp of market trends and provide constructive guidance for enterprises to make better decision-making, has a strong practical.

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