Search is one of the main tasks performed online, and yet often it doesn't work as well as it should. Take, for example, the common experience of "back-clicking," when a user has to return to the results page several times before finding the information she's looking for. According to a 2009 comScore survey, 30 percent of searches are abandoned in frustration, and two-thirds of the rest required users to refine their queries before getting the desired result.
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| Smart search: Yolink attempts to identify relevant information on Web pages. This example shows terms picked out on Craigslist. Credit: TigerLogic Corporation |
A new product called Yolink, which launched this week, aims to help users figure out which search results are most relevant. It does this by looking at the contents of the Web pages that a list of search result link to. The company bills itself as a step toward semantic search, because it attempts to find meaning in the contents of a Web page. And it can do this even though most pages aren't marked up in the formats typically used to help machines interpret content. The product is made by TigerLogic, a company based in Irvine, CA.
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