New Ideas in Search and Social Networking - QueryCAT
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QueryCAT is a question-and-answer site, but it isn't socially based. It has indexed FAQs from all over the web and made them searchable from a single site. It's not topic specific; it looks for a specific "format" of web page.
As you can see, the site claims more than four million questions and answers. It uses the Alexa Web Search Platform as its crawler. It uses its own question recognition technology to power its search. The company also plans to offer the FAQ database and question recognition technology to other firms that want to add the FAQ search to their own site.
Here's a screen shot of the search in action:
Though the screen shot claims that it returned nine results, I only got four. And they were not as useful as one could hope. The first one, for example, led to a page that no longer exists. However, QueryCAT did better with other questions. As with any search engine, its results are going to be dependent on what it searches, so they are likely to be uneven. Still, you might find that it's worth a look; I don't know of any other company that is attempting this particular approach. Whether it will be successful is another question - and a frequently asked one at that, for QueryCAT and other start-up firms such as the ones I've reviewed here. Only the market knows the answer to that.
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