Enhancing Online Similar Web Pages Advisor with Support of Text Processing

Abstract

Abstract-The Web is a lifestyle of this era. User searches information on Web data by daily usage. The problem is that when user browsing a Web page and interested in similar pages, then an application is needed to find out related information locations (web pages) called similar Web page advisor. It is obvious that this task requires more than a Web search engine.In this study, a simple text processing technique for English is devised in order to rearrange the output of the Web search engine. In other words, the HTML content of the Web pages on the links suggested by Web search engine are further processed and evaluated so that enhanced ranking of the top ten links is presented to the user.The output of the System is compared with the well-known similar tool Chrome "similar Web pages" add-on application. The average Cosine similarity of the original Web page and suggested ten Web pages is considered. Our System overwhelms Chrome "similar Web pages" add-on. Moreover, it is more stable if different types of Web pages are considered.