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An Algorithm of Search Engine Based on Text Clustering

Author: CaiYue
Tutor: YuanJinSheng
School: Beijing Forestry University
Course: Applied Computer Technology
Keywords: Search engine Text Clustering DBSCAN K-means
CLC: TP391.1
Type: Master's thesis
Year: 2010
Downloads: 140
Quote: 6
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Abstract


As the Internet continues to extend the amount of information with the ever-increasing , how from the vast ocean of information of interest to the user information is particularly important . Although the portal is trying to make a directory more rationalize services provided more diverse , but in the face of hundreds of millions of information , it appears that a drop in the bucket . This article first introduced in order to adapt to the development of the times , the search engine will be nurtured and gave birth to the search engine of development , the research status at home and abroad , as well as the traditional full-text search engine 's basic principles and problems of Then , a clustering algorithm based on the concept of text clustering search engine and its related details . On the different between the various clustering algorithms , and clustering algorithm principle experiments , more typical of several clustering algorithm and its improved algorithm was validated . Combining these data , this paper presents a search engine based on text clustering algorithm , the algorithm DBSCAN density based clustering algorithm , combined with the practical application has made some improvements and enhance . The search engine compared to the full-text search engine has improved in accuracy , compared with a similar search engine , the search engine has more practical value .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Text Processing
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