Relevant Page Retrieval and Query Recommendation using Semantic Analysis of Queries
Usha Yadav, Neelam Duhan, Bhawna Kaushik · 2013
Due to the massive size of the Web and low precision of user queries, search results returned from present web search engines can reach to even hundreds of thousands of documents. Therefore, finding the right information can be a tedious task if not impossible. This paper represents an approach that tries to solve this problem by finding the semantic similarity and similarity metrics to group similar terms using clustering techniques. These similar terms are bind to each other using links in proposed index repository in order to facilitate presentation of results in more compact form and enable the semantic browsing of the results set.