International Journal of Computer Science & Engineering Technology

ISSN : 2229-3345

Open Access
Open Access

ABSTRACT

Title : Ranking Web page based on Content’s Weights for Search Engines
Authors : Charanjit Singh, Vijay Laxmi, Arvinder Singh Kang
Keywords : Content’s Weight-based Web Retrieval, Web based Services, Search Engines, Ranking Web Page
Issue Date : July 2017
Abstract :
In today’s era where everything is on the webpages, to searching, retrieving and organizing information around the world, search engines plays an important role. Although in actual position, the relevance of results by search engines as per the user’s query stills a big challenge for the researchers. The search engines return the vast amount of unexpected and repeated results. Various ranking criteria used by search engines to order the results. Web mining and ranking are the most powerful research areas, use to enhance process of retrieving the relevant information in better and faster manner from the web. Web content mining and web structure mining, concepts of web mining play a major role in search engines. Web content mining is used to deal with content of the web page whereas structure mining with links of web pages. In this research work, enhanced ranking approach is proposed called Content’s weight based page ranking algorithm. In this ranking algorithm, rank has been assigned to the web page on the basis of their contents, its respective weight and page rank with in-links. A search engine environment is developed using proposed ranking algorithm to retrieve the relevant web pages as per the user’s query. Experimental mathematical calculation results show that how the sequence of dataset has been changed or improved on the basis of their new ranks computed using the proposed ranking manner.
Page(s) : 317-324
ISSN : 2229-3345
Source : Vol. 8, Issue.07

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