Research on Individuation of Multi-Pattern Search Engine Based on Network Curriculum

摘要

In the recent years, the search engine has been the hot research subject due to its highest frequency of use in obtaining the Web information. According to the specialty and stability of the user of network curriculum, this article raises individuation of multi-model search engine model based on the meta-search search engine and subject key words (IMSN) which increases the accuracy of special searching by modifying the taxis arithmetic of PageRank as per the matching degree of the related linked content and the dynamic click number. IMSN based on individualized parameters, such as the clicking ratio and inquiry information, constructs a personal classified character vector space. At the same time, shaping personal Re-PageRank arithmetic based on personal clicking information, displaying individualized composition result, it makes the structure of network curriculum oriented individualized multi-model search engine a reality.