By: E&P Staff New York's Daily News has engaged Inform Technologies to enhance its Web site with the automatic creation of multiple, relevant links and topic pages -- new features designed to create a more rewarding user experience and to derive increased revenue from the site.
"Through the introduction of new software and new applications, NYDailyNews.com can "offer a compelling site that leverages the quality of the paper's editorial depth and archives, as well as associated content on the Web," Inform Technologies CEO James Satloff said in a statement.
Inform uses proprietary rules and algorithms to scan millions of pages of content and identify topics and articles that are similar and relevant to each other. Semantic Web technology then links articles creates dynamic topic-specific pages that pull together articles, blogs, photos, and videos on a given subject. Links and topic pages are automatically updated in real time as the software continuously learns how particular words, such as Brett Favre and Jets, relate to each other.
For NYDailyNews.com, Inform's solution displays lists of related "topics" (such as "NYC Security") and "entities" (such as "Mayor Bloomberg") for improved navigation and discovery directly from an article being read. It also delivers related content from within the Daily News' content pool and from a customized set of Web sources specified by the Daily News.
The Daily News also benefits from Inform's ability to distinguish people and topics specific to the New York metropolitan area -- for instance, it can identify Bloomberg the mayor separately from Bloomberg the financial data and news provider.
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