Goog. Retrievr - search by sketch / search by image. Yippy News. Research Beyond Google: 119 Authoritative, Invisible, and Comprehensive Resources. Got a research paper or thesis to write for school or an online class? Want to research using the Internet? Good luck. There’s a lot of junk out there — outdated pages, broken links, and inaccurate information. Using Google or Wikipedia may lead you to some results, but you can’t always be sure of accuracy.
And what’s more, you’ll only be searching a fraction of all of the resources available to you. Google, the largest search database on the planet, currently has around 50 billion web pages indexed. That’s a lot of information. Do you think your local or university librarian uses Google? Topics Covered in this Article Deep Web Search Engines | Art | Books Online | Business | Consumer | Economic and Job Data | Finance and Investing | General Research | Government Data | International | Law and Politics | Library of Congress | Medical and Health | STEM | Transportation Deep Web Search Engines Art Hundreds of other museums all over the world have their own databases. Books Online Business U.S. Custom Homepage: Browse » Nature » Sunsets » 100954. Mahalo.com: Human-powered Search. ReferenceUSA. Sputtr. VROOSH! Metasearch engine - Metacrawler. IntelliVERB. ePrecis. EASYSOU.CN RELOADED.
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Read/WriteWeb: Search 2.0 vs Traditional Search. Written by Ebrahim Ezzy and edited by Richard MacManus. Ebrahim is lead developer and co-founder of Qelix Technologies, the company behind a search 2.0 contender called Qube. This 2-part series of posts is adapted from Ebrahim's research material in developing Qube. [update Part 2 is here] Let's start be defining what we mean by "search 2.0" vs traditional search. Traditional Search (TSE): Traditional search engines are based on information retrieval technologies.
Examples: Google, Yahoo, MSN, Ask Search 2.0 (S-2.0): What I'm calling Search 2.0 are actually third generation search technologies. First-generation search ranked sites based on page content - examples are early yahoo.com and Alta Vista.Second-generation relies on link analysis for ranking - so they take the structure of the Web into account. Examples: Swicki, Rollyo, Clusty, Wink, Lexxe The Search 2.0 Companies (Pt 1) Swicki Key Feature: Pattern recognition and Adaptive filtering How it is useful compared to TSE? Rollyo Clusty Wink.