APPLICATION BASED UNDERSTANDING AND CLASSIFYING WEB QUIRES
Rajesh Kumar Ahirwar*, Mukesh Bhangre, and Rakesh Kumar Vishwakarma
Department of C.S.E. S.A.T.I., Vidisha M.P., India
|Corresponding Author: Rajesh Kumar Ahirwar, E-mail: [email protected]|
|Related article at Pubmed, Scholar Google|
Existing search services rely solely on a query's occurrence in the document collection to locate relevant documents. They typically do not perform any task or topic-based analysis of queries using other available resources, and do not leverage changes in user query patterns over time. In this paper provided within a set of techniques and metrics for performing temporal analysis on query logs. The metrics proposed for our log analysis are shown to be reasonable and informative, and can be used to detect changing trends and patterns in the query stream, thus providing valuable data to a search service. We continue with an algorithm for automatic topical classification of web queries. Results are presented showing that our classification approach can be successfully applied to a significant portion of the query stream, making it possible for search services to leverage it for improving search effectiveness and efficiency.