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@article{143342,
        author = {Priyanka Tuteja and Meena Chaudhary and Sarika Gambhir},
        title = {A Comparative Study of Web Page Ranking Algorithms},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {2},
        number = {10},
        pages = {178-184},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=143342},
        abstract = {The World Wide Web WWW is a huge resource of hyperlinked and heterogeneous information which comprises of billions of web pages . To retrieve  required information from World Wide Web, search engines perform  various  tasks based on its architecture and provide relevant and quality information to the internet users in response to its query. by using the web page contents and hyperlink between the web pages. Web mining is an active research area in present scenario. It is defined as the application of data mining techniques on the World Wide Web to find hidden information, This hidden information i.e. knowledge which contained in content of web pages or in link structure of World Wide Web or in web server logs. This paper deals with analysis and comparison of web page rankingalgorithms based on various parameter for the ranking of the web pages. Based on the analysis of various rankingalgorithms, a comparative search is done to search out out theirrelative strengths and limitations and furtherscope of analysis in web page ranking algorithmic rule.},
        keywords = {WWW, Data mining, Web mining, Search engine.},
        month = {},
        }