CLUSTERING OF WEB SEARCH RESULTS: TECHNIQUES, APPLICATIONS, AND CHALLENGES

Abstract

When users query web search engines, massive amounts of information are retrieved; this sometimes leads to confusing and disorganized search result sites. By organizing related search results into cohesive clusters, clustering techniques provide an efficient way to get and explore information. An overview of web search result clustering techniques, including their applications, problems, and methods, is given in this research study. This work seeks to clarify the state-of-the-art clustering approaches, current trends, and future directions in the field of web search result clustering through a thorough assessment of the available literature and case examples.