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Google's Bigger Index
WebGangsta writes "Google Inc. today announced it expanded the breadth of its web index to more than 6 billion items. This innovation represents a milestone for Internet users, enabling quick and easy access to the world's largest collection of online information."
While I love google, this is so obviously just a link to a press release, and even worse the first line of the press release cut-and-pasted onto slashdot's page. And is going past 6 billion really that important?
Combination - fun iPhone puzzling
No it doesn't. It represents a pretty reasonable upgrade for Google.
It's expected as the web grows, so will the search engines.
This isn't exactly a man-on-the-moon accomplishment.
I don't need no instructions to know how to rock!!!!
It just means bigger. There may well be innovation in the technology which allows bigger, that might have been news for nerds, but bigger itself isn't innovative.
Government of the people, by corporate executives, for corporate profits.
Anyone else find it funny that Google has around one item for every man woman and child on earth?
I'd find it funnier if every man woman and child on earth at least had unrestricted access to Google and everything it links to.
Happy Trails!
Erick
http://www.busyweather.com/
As far as I know, image search in the way you want it is still only a dream. But. Approx 2 years ago I attended a conference focused (mainly) on theoretical computer science. I saw some researchers (I think they were from Italy, not sure) present an early implementation of their algorithm to look for similar images to the one you select.
The idea behind: For a computer, it's not easy to tell what exactly does an image contain. E.g. take all those "type the word you see above inside this box to prove you are not a bot" registration forms. If there are no working algorithms to tell "this image contains the word SLASHDOT written in yellow and blue stripes on a pink-dotted black background", the chances of creating an algorithm to tell "this is a game of tennis, it is probably played in the afternoon somewhere in England" are really low.
However, by using various approaches from CG (comp. graphics), you MAY be able to tell whether two images are similar or not -- as simple examples consider edge detection, color spectrum, etc. As I already mentioned, such algorithms have already been implemented and their success ratio is already reasonably high. I expect that it won't take long until we see them on google.
Note that using the ideas above you CAN search for an image with a given subject -- it just requires two stages. Suppose you want an image of a sun setting down somewhere in the mountains. Stage 1. You enter "sunset" into google's present search engine. You get lots of sunsets, several dogs named Sunset, a chinese girl Sun Set, etc. Then you select one of the sunsets most resembling the image you want and you tell google (or some other engine) to find all similar images. Et voila.
Too bad the article doesn't mention how google is trying to fight gaming the PageRank system or any of the other problems like commercials in the results. Still a great search tool though.
I totally agree. These day, whenever I use google, I always include "-search" in my search. Cleans it right up :)