Improving Web Search Results Using Semantic Clustering
In this paper, the authors consider the problem of search engine that are not capable of retrieving appropriate result on query given. Most of the users are not able to give the appropriate query to get what exactly they wanted to retrieve. So the search engine retrieves a massive list of data, which are ranked by the page rank algorithm or relevancy algorithm or human judgment algorithm. If the relevant results do not occur in the first part of results returned then user may fail to find them.