This paper addresses the problem of ranking the websites. Various websites provide information which may be conflicting in nature, thereby confusing the end user. The traditional ranking methods of the websites are often based on the structure of the web or the structure of the webpage or the ‘hits’ by the users, which do not guarantee correct content which a user is searching for. An improvised model has been proposed for solving the said problem in ranking the websites. The proposed model identifies the key relationship between the website, its content and the searched query. The simulation result shows that the model not only successfully finds the trustworthy websites but also ranks these websites according to their relevance to the searched query.

With the web being flooded with information about every topic, the problem of identifying the correct information from the websites poses a challenge to the researchers. The end user, who searches for information about a topic, depends on the ranking of the websites provided by search engines. These rankings are generally based on the structure of the website (centrality) or the page hits (HITS/Page Rank). The content of the websites are also considered as keywords (Tf-Idf). Even with the inclusion of all these factors, the underlying problem of finding genuine information still holds. Even some top-ranked websites provide information which is not correct, while some less popular websites, ranked lower on the famous search engines, are found to provide more genuine and correct information about a user’s query.

According to Mashable, in a survey conducted by Harris Interactive in 2012, 98% of Americans distrust information found on the Internet, with 94% saying, “bad things can happen as a result of acting on inaccurate information online” (Mancx Survey, 2012).

Computer Sciences Journal, Web analytics, Ranking, Trustworthiness, Search engine, Improving Website Ranking, Multi-Term Query Search, Trustworthiness .