The week's pick
Reseach Article
Link Analysis to discover relevant documents using Information Retrieval
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 178 - Number 10 |
| Year of Publication: 2019 |
| Authors: Hemangini S. Patel, Apurva A. Desai |
10.5120/ijca2019918827
|
Hemangini S. Patel, Apurva A. Desai . Link Analysis to discover relevant documents using Information Retrieval. International Journal of Computer Applications. 178, 10 ( May 2019), 23-27. DOI=10.5120/ijca2019918827
Abstract
In recent year’s growth of World Wide Web become faster to cross all expectations; World Wide Web is becoming most valuable resources to information retrieval and knowledge discovery from Web. It is a fertile area for web mining research; an emerging challenge for web mining is the problem of mining richly qualitative documents, where the objects are linked via multiple types of relations. These links provide additional context that can be helpful for web mining tasks. Traditional link analysis treats all hyperlinks equally and makes the assumption that links are endorsement, so there is need to only extract links which are valuable. Unfortunately, this assumption does not incorporate in present World-Wide Web. Hyperlinks are not identical; they may be created in different contexts and for different purposes. By using novel characteristics of web page and hyperlinks to help a search engine focus on relevant and high quality content. The important hyperlink features—topicality —is proposed.
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