A Vertical Search Engine

Comparing with the traditional full-text search engine, the vertical search engine can provide more professional and effectively information. The users can avoid filtering usable and professional information from mass data when they use the vertical search engine. This is research focus of search engine. At present, the vertical search engine adopted the system structure which is similar with the full-text search engine. It had high level in the professional association degree. Conforming to the universal full-text search engine, it is also confronted with the problem of low-recall ratio and high dissipation of web resource. This article provides the system structure of the vertical search engine which based on meta-search to solve these problems, the level of the professional association degree is declined, but the recall ratio is improved.The experiment proved that this system can meet the needs of professional users adequately. Works achieved in this paper are as follow:1. At present, the recall ratio of the vertical search engine is low. Because of Meta-search engine had higher recall ratio, we design a vertical search engine which adopts the method of the information collection which is based on the Meta-search engine. The system adds the function of information collection and analysis to adapt to the demand of the vertical search engine.2. Information collection is the foundation of the search engine. In allusion to the low-recall ratio and inefficacious information, this article provides a method which based on the browsing times of the webpage. This method collects a mass of high attention information which based on the Meta-search engine results. On one sides, it can increase the recall ratio of the search engine. On the other sides, it also can improve the professional association degree of the information.3. Information search is the core of the search engine. This article imports data mining to analysis the collected information and it reduces correlative rules between words and key words from the well-pleased information. We provide the concept of the adelomorphic key words which used in the information search. Experiment proves that the search which added the adelomorphic key words can improve the professional association degree of the results.4. The users concern the anterior results of the search engine, so the sorting of the results is a important point which we should attach importance to. Now, the sorting of the results of meta-search engine use a little of information, it cannot make sure the result of search engine correlated with the specialty of the vertical search engine.This article provides an array method which is suit for this system and improved the position sorting algorithm, it adds the professional degree of association of the results.This article provides a solution of the vertical search engine which is based on the meta-search engine, it provides a new thought of the vertical search engine designing.