Archive for the ‘Search’ Category
- Famous words
Yahoo is not a search company. Neither is Google.
- Google + colour searching
Well it is about time that the Google folks mimicked the Canadian search giants – yes, that us! Google introduced colour search to image searching. Nice. Of course it will be awesome! Still no multicolour on Google but you can try a simple hack to get the poor man’s multicolour on Google: search for a colour using a keyword (for example blue sky) and pick a different colour from the drop down. Voila! No great image search results but hey it is a start…
Now if you want the play with the real deal in multicolour searching head over to the Idée lab!
Love how a blog post on LifeHacker about Google’s colour search moves into a full discussion of Idée’s technologies namely: TinEye and Multicolor search. Fun times in the Ideeplex!
- TinEye firefox add-on
As most of you know, TinEye is our reverse image search engine. Go ahead try it, it does not bite and does quite a bit of searching too. We released our TinEye Firefox add on a few months ago and today it has close to 13,000 downloads!
- It is personal
That would be the user generated content conference in February 2009 in California. I will be speaking at the conference and I am looking forward to it. I am surrounded by user generated content: open source software in the software space, wikipedia, flickr and creative commons, ThinkBig, just to name a few. I am looking forward to meeting some of the other speakers and putting together a kick ass presentation.I am obsessed these days with search, particularly searching user generated content. You can’t use what you can’t find. I know that everyone else is more concerned about trust and accuracy: like in can you trust what you are reading and is it accurate. Search will find the accuracies and inaccuracies all the same! Searching photographs is particularly painful since we typically rely on keywords to be associated with images to find them. It is a starting point but it is limiting. Large scale image searching on the web is still in its infancy. We have seen a lot of development in the search space this year, with the introductions of visual search features, colour searching, keywords + geotags but we still have a ways to go. What I have been thinking a lot about is the creation of a world visual repository: imagine (soon) being able to take a photograph of anything and getting back (useful) information about what you photographed, via mobile devices preferrably.
How far are we from this dream? I say: not very far. Not very far. Start work on stealth project now!
- Multicolor Search: not for the communist!
Oh yeah we all knew that: our multicolor search is not for the communist! Jason made my day!
- Google’s Impenetrable (For Now) Position
not my words… but the musings of Kevin Maney:
More than likely, Google is untouchable until some company — a start-up, I’ll bet — redefines what search is in a way that makes us feel like Google’s broad, unfiltered text search is old and cumbersome. The way we felt about DOS after the Mac appeared, or dot-matrix printers after ink-jet.
- Google @10
The Globe and Mail has an excellent article about Google @10.
- Google hits a milestone:
and the web is a very very big place: Google is indexing 1 trillion (as in 1,000,000,000,000) unique URLs on the web at once!
To keep up with this volume of information, our systems have come a
long way since the first set of web data Google processed to answer
queries. Back then, we did everything in batches: one workstation could
compute the PageRank graph on 26 million pages in a couple of hours,
and that set of pages would be used as Google’s index for a fixed
period of time. Today, Google downloads the web continuously,
collecting updated page information and re-processing the entire
web-link graph several times per day. This graph of one trillion URLs
is similar to a map made up of one trillion intersections. So multiple
times every day, we do the computational equivalent of fully exploring
every intersection of every road in the United States. Except it’d be a
map about 50,000 times as big as the U.S., with 50,000 times as many
roads and intersections.
- Bleeding Edge Search Engines to Beat Google
From Alt Search Engines from the good folks at ReadWriteWeb: Our TinEye is top dog for image search! The list of top dogs is here.
Work: CEO of 
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