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The World Wide Web (WWW) is the repository of large number of web pages whichcan be accessed via Internet by multiple users at the same time and thereforeit is Ubiquitous in nature. The search engine is a key application used tosearch the web pages from this huge repository, which uses the link analysisfor ranking the web pages without considering the facts provided by them. A newalgorithm called Probability of Correctness of Facts(PCF)-Engine is proposed tofind the accuracy of the facts provided by the web pages. It uses theProbability based similarity function (SIM) which performs the string matchingbetween the true facts and the facts of web pages to find their probability ofcorrectness. The existing semantic search engines, may give the relevant resultto the user query but may not be 100% accurate. Our algorithm computestrustworthiness of websites to rank the web pages. Simulation results show thatour approach is efficient when compared with existing Voting and Truthfinder[1]algorithms with respect to the trustworthiness of the websites.

Ranking Search Engine Result Pages based on Trustworthiness of Websites