Professional Meta Search Engine Results Ranking Algorithm Based on Genetic Algorithm
Jianjun Zhang · Jisuanji gongcheng · 2010
Aiming at the problems of meta search engine such as precision,this paper analyzes professional search engine returns results professional correlation in-depth exploration of a given Web page based on genetic algorithm sorting algorithm.In mining to return to the results of independent search engine,in addition to location information of the other information based on the use of genetic algorithm to build a professional Web site correlation model for Web pages related to the degree of professional computing.The algorithm discusses the implementation of the principle and provides programs to improve the algorithm.Experimental results show that the algorithm is effective.