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- W2384644171 abstract "With the rapid growth of the information on the web,how to effectively obtain high quality information has become one of today's hot topic in information retrieval,data mining,artificial intelligence,search for information on how to improve the results of similarity search for information in order to improve the quality of many of the major ways of thinking.In the link analysis based on hierarchical clustering algorithm based on SAHN proposed to estimate the associated auxiliary web users clustering search method,and the common clustering methods,experiments by comparing the similarity of the three commonly used clustering methods to improve the search results in the application of estimation methods that can be combined with user assistance to improve the search results to better satisfaction,to achieve better search results." @default.
- W2384644171 created "2016-06-24" @default.
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- W2384644171 date "2011-01-01" @default.
- W2384644171 modified "2023-09-26" @default.
- W2384644171 title "Clustering of Related Pages Based User-Assisted Estimation" @default.
- W2384644171 hasPublicationYear "2011" @default.
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