Fuzzy Clustering Algorithm And Recommended Techniques Based On Search Engine Result Ranking

On the Internet rich resources and people relying on it make people want to browse thenetwork resources,at the same time how quickly and accurately obtain useful information fromthe Internet is mor important.The Search Engine System has become the most popular tool toaccess to network resources.However,people experience the Search Engine System to bringconvenience,but also realize the need to obtain accurate and useful network resourcesdifficult.So far, Search Engine main idea is to match the query keywords to resources on theInternet,and the return to the searching results,but containing a variety of semantic querykeyword, making the retrieval of the results there is the topic drift phenomenon.but users needto screening search results, in order to find useful information, which makes this work andspent a lot of time. To solve the above problem, this paper proposes a new method of searchengine results ranking,which is based on fuzzy clustering algorithm,namely IPCM algorithm.Inorder to optimize the sorting of search results,the traditional recommendation technology wasfused to form a fusion recommendation algorithm. Combination IPCM algorithm and fusionrecommendation algorithm was applied to the sort of search engine results. And the feasibilityand advantages of the algorithm is verified by experiment.The paper has the following three innovative points:(1) An improved PCM algorithm is proposed, namely IPCM algorithm. In order toovercome the initial value problems of PCM algorithm, the user’s interests and hobbies modelis looked at the IPCM algorithm initial matrix.The initial matrix which based on the user’sinterests and hobbies model meet the user’s searching habits,and the IPCM algorithm isobtained after that updating the center of cluster and update the classification matrix isconvergenced more in line with the user query topics,preventing the topic drift.(2) The traditional recommendation techniques are fused to form a fusion algorithm ofrecommendation.According to the traditional recommendation techniques, using the othermethod, which based on the user collaborative filtering recommendation technology and basedon the content recommendation technology are made fusion, and the fusion recommendationalgorithm is applied to the search engine. The fusion recommendation algorithm has goodoptimization ability to rank the Search Engine results.Moreover, when there are the error occursfor using the IPCM algorithm, the fusion recommendation can make up ranking in some degreeon Search Engines results.(3) A new method named IPCM algorithm and fusion recommendation algorithm isproposed to solve the problem of the Search Engine results ranking,which is based on fuzzyclustering algorithm.The algorithm is combined the IPCM algorithm and the fusion recommendation algorithm to avoid drift problem of retrieving topic and improve the efficiencyof Search Engine retrieval.