doi: 10.18178/ijfcc.2017.6.1.481
Enhancing Online Similar Web Pages Advisor with Support of Text Processing
Metin Turan
- İstanbul Commerce University, Küçükyalı, İstanbul, Turkey.
Abstract
The Web is a lifestyle of this era. User searchesinformation on Web data by daily usage. The problem is thatwhen user browsing a Web page and interested in similar pages,then an application is needed to find out related informationlocations (web pages) called similar Web page advisor. It isobvious that this task requires more than a Web search engine.<br>In this study, a simple text processing technique for English isdevised in order to rearrange the output of the Web searchengine. In other words, the HTML content of the Web pages onthe links suggested by Web search engine are further processedand evaluated so that enhanced ranking of the top ten links ispresented to the user.<br>The output of the System is compared with the well-knownsimilar tool Chrome “similar Web pages” add-on application.The average Cosine similarity of the original Web page andsuggested ten Web pages is considered. Our System overwhelmsChrome “similar Web pages” add-on. Moreover, it is morestable if different types of Web pages are considered.
Keywords
- Social recommendation
- content analysis andfeature selection
- text processing
How to Cite
Metin Turan, "Enhancing Online Similar Web Pages Advisor with Support of Text Processing," International Journal of Future Computer and Communication, vol. 6, no. 1, pp. 15-20, 2017. https://doi.org/ 10.18178/ijfcc.2017.6.1.481
Copyright & License
Copyright © 2017 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).