The Research And Design Of A Personalized Meta Search Engine Based On User Profile

With the rapid development of the Internet and the expand increasing of the WEB information, the more valuable knowledge we gained, the more initiative we will be society to take in this highly competitive. The world is linked by Internet which makes the knowledge be shared extremely and be convenient for people to check. With the Internet and its related technology continues to evolve and mature, Web information is growing exponentially. In this era of rapid development of information, when face the information which is various in kind and updating at a fantastic rate, people sometimes have a sense of confusion and perplexity. It makes users to search for and get the knowledgeable which they need to become more difficult because of the great number of information. Search engine technologies can solve this problem for people to some extent. In view of the more popular search engines nowadays there is low coverage of information, customer satisfaction rate is not high, and low quality of feedback problems, the emergence of meta-search engine, and make up the shortcomings of the independent search engine. Herein there are many problems for the popular search engine such as low coverage of information, low satisfaction rate of customers, the low quality of feedback and so on. So the use of Meta Search Engine has make up the disadvantage of the independent search engine. It makes the information query and recall accuracy rate has been significantly improved, especially considering the interest of the user has been improved largely. Meta Search Engine technology has also become more popular research.The first section, based on the analysis on developing situation of meta-search engine, this paper addresses some of the existing problems in recall ratio, precision ratio and ignorance of users'interest. A new scheme on users'interest is proposed for meta-search engine. The second section, Aim at how to create users'interest and how to apply this module into practice, I refer to lots of related articles and in the end; I present a new scheme that the creation procedure of user's model based on terminology classification. Additionally, I create related database. The third section, on the user's Web log classification summed up; draw the user's interest in terms of different categories, sorting and classification of terms into the database. Then, the terminology database will be served as the initial training sets to test the members of the search engine, and come out members of the search engine terms for different categories of the different quality of feedback, Plus interest to consider the user feedback and the response time performance of search engine which is tested by system, etc.This article constructed Meta Search Engine Systems involved in the search engine. Structures in the system process, this paper focuses on the meta search engine system used in the scheduling of all members of the engine algorithm and the realization of a detailed analysis and discussion, and members of the engine to return results of pages of information extraction technology and meta-search feedback engine ranking and ranking algorithm done in-depth analysis and explanation. In the end, for use in practice, and the experimental results obtained were analyzed and compared to. It has been validated there were certain practical significance that meta-search engine in the actual use of the process to better meet the needs of the user's searching queries.