Content Trust Based Trustworthy News Search Engine

Search engine is an essential tool for information retrieval in internet. However, key-match based full-text search engine always returns masses of results, most of which called “spam pages” trouble the user to precisely and speedily find the needed information. In this paper, we take content trust semantic into internet information retrieval, using the trust evaluation technique based on trust-facts to compute the trust-degree of web page. We then sort the web pages in ascending order according to trust-degree, and make the search results be more correlative and credible. Finally, integrating the key algorithms we devise, we design a prototype system of Trustworthy News Search Engine, and analyze the system with some examples.