Cuckoo optimized query recommendation in web search

Abstract

In daily query logs that contain knowledge that is valuable on the interactions of web users with the different search engines and their preferences and interests is recorded in huge volumes. When patterns of behavior are extracted from this behavior there is a great improvement in the provision of services by the search engines and also paradigms in web search that are innovative are introduced. The recommendation of queries is used to a great extent by user to derive efficient information. Query Flow Graph and its weights are chosen through a Cuckoo Search and the results are demonstrated by proving the efficacy of this method.