| Search engines are becoming an integral part of our life and the dependency on them is ever increasing. There are no control measures to ensure that a search engine always return the most relevant pages for the user query. It is important to understand that the results from the search engines could be biased. If this bias could be measured quantitatively, users could choose the search engine with lowest bias. In this paper, we propose a new approach to calculate bias using the HITS algorithm. The HITS algorithm ranks the Web pages returned by a pool of search engines in terms of authority. This rank is used to calculate the bias and quality of search engines. In the process we rectified the HITS algorithm to make it more effective. We have also analyzed the relationship between the bias and quality of the search engines to gain insight into the affect of bias on quality. |
