A Relative Study on Search Results Clustering Algorithms - K-Means, Suffix Tree and Lingo

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Provided by: International Journal of Engineering and Advanced Technology (IJEAT)
Topic: Data Management
Format: PDF
The performance of the web search engines could be improved by properly clustering the search result documents. Most of the users are not able to give the appropriate query to get what exactly they wanted to retrieve. So the search engine will retrieve a massive list of data, which are ranked by the page rank algorithm or relevancy algorithm or human judgment algorithm. The user will always find them with the unrelated information related to the search due to the ambiguity in the query by the user.
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