Model Based On User Interest In The Campus Network Search Engine Design And Applications

With the continuous development of the campus network construction,the informations on campus are growing at an astonishing rate. How can quickly and accurately extract the usefull information from a large number of campus network has become a concern content by teachers and students . Although we have some good general search engine, such as Google and Baidu,it could not satisfy the need of searching the information in campus network for the reason of secrecy and localization.The general search engine does not consider the user's interest,and the Search's result does not satisfy the specific needs of different users. Combination of campus network users to query content similarity and regularity,.In this paper, based on user's interest model of the campus network search engine model. through Web logs and user browsing behavior can be analyzed mining, User Interests information, establish user interest model , and continue to update and maintain the model to make it more accurately reflects the needs of the user's interest. The user interest model based on the modified page weights and add the user to amend the parameters of the individual index results sorted.We research the Web data mining , how to use the technology for users interested in mining in-depth discussion and analysis of how to apply the results of user interest mining search engine, in order to achieve the personalized search service. In the general search engine architecture and building search engine based on the key technology, combined with excellent open-source Nutch and Lucene to design a framework used in the Yunnan University campus network search engine framework, and has achieved most of the functionality. Finally, the system functional and performance testing, experimental results show good performance of the system, basically to meet the Yunnan University campus network information search needs.