I don't know if this has been posted, but I'll give it a shot...
I've accumulated well over a thousand bookmarks and have been much too lazy to organize them into folders. If you could automatically cluster bookmarks (http://vivisimo.com/ does this with web results) I would be eternally grateful.
One more suggestion is to learn usage patterns in a particular website. For example, when I go to http://www.nytimes.com, I generally click on the opinions sections. If the browser could anticipate that I typically go to the opinion section, it could start to preload it before I click on it.
I realize the later suggestion is much easier to implement than the former, but the clustering would be very useful for lazy surfers like me.
I'm curious as to why they are using Neural Networks for this application? In the last 10 years or so, most machine learning applications have moved away from Neural Networks to more mathematically based models such as Support Vector Machines, a generative model (e.g. Naive Bayes), or some kind of Ensemble Method (e.g. Boosting). I suspect they used NN because the Matlab toolkit made it easy or someone in research hasn't kept up. I'd look for a paper to come out soon that improves the accuracy by using SVM.
When Sideshow Bob is in court, accused of trying to kill Bart, the lawyer says to him on the stand, But what about that tattoo on your chest? Doesn't it say, "Die Bart, Die?"
Sideshow Bob responds by saying, "No, That's German for, 'The Bart, The."
Someone in the courtroom then whispers, "No one who speaks German could be an evil man."
Israeli only so far, vs. however many localizations (let alone simple translations) google/gmail has/will have.
You have to think that a company in Israel would have redundant servers outside of the country if they're launching such an ambitious service. Also, office buildings generally aren't a target to suicide bombers. Suicide bombers typically go after things like restaurants where they can kill a lot of innocent people crowded into one, publicly accessible place.
If an article is about a product or a service that has something to do with Israel, you don't have to mention it in the article. One only needs to look at this discussion at 0 nested to see that Slashdot is chock full of zealots, largely on one side. What this creates is a flood of offensive, off topic messages that suck up mod points used ammunition in a religious/nationalistic flame war. This is bad regardless of which side you're on for two reasons:
Fewer mod points are in the system to use on relevant messages
Racist messages get modded up past the +3 threshold and create lower the signal to noise ratio.
Slashdot Mirror
I don't know if this has been posted, but I'll give it a shot...
I've accumulated well over a thousand bookmarks and have been much too lazy to organize them into folders. If you could automatically cluster bookmarks (http://vivisimo.com/ does this with web results) I would be eternally grateful.
One more suggestion is to learn usage patterns in a particular website. For example, when I go to http://www.nytimes.com, I generally click on the opinions sections. If the browser could anticipate that I typically go to the opinion section, it could start to preload it before I click on it.
I realize the later suggestion is much easier to implement than the former, but the clustering would be very useful for lazy surfers like me.
I'm curious as to why they are using Neural Networks for this application? In the last 10 years or so, most machine learning applications have moved away from Neural Networks to more mathematically based models such as Support Vector Machines, a generative model (e.g. Naive Bayes), or some kind of Ensemble Method (e.g. Boosting). I suspect they used NN because the Matlab toolkit made it easy or someone in research hasn't kept up. I'd look for a paper to come out soon that improves the accuracy by using SVM.
This reminds me of a scene in the simpsons:
When Sideshow Bob is in court, accused of trying to kill Bart, the lawyer says to him on the stand, But what about that tattoo on your chest? Doesn't it say, "Die Bart, Die?"
Sideshow Bob responds by saying, "No, That's German for, 'The Bart, The."
Someone in the courtroom then whispers, "No one who speaks German could be an evil man."
Israeli only so far, vs. however many localizations (let alone simple translations) google/gmail has/will have.
You have to think that a company in Israel would have redundant servers outside of the country if they're launching such an ambitious service. Also, office buildings generally aren't a target to suicide bombers. Suicide bombers typically go after things like restaurants where they can kill a lot of innocent people crowded into one, publicly accessible place.
I believe that the killer app for this technology will be for 3d desktops. Unfortunately, the killer app for 3d desktops probably doesn't exist.
Why not investigate some of the alternatives while the site is ./ed.
http://desk3d.sourceforge.net/
Sun's attempt
http://www.cs.ucl.ac.uk/staff/A.Steed/3ddesktop/
Forgive me for not reading the article, but why does nothing come up when I type in porno? This is the Internet, isn't it?
I'm glad that Element Computer decided to name their distro ION as opposed to the more logical but lawsuit prone Macinux.
An article where no one can say "this isn't news for nerds!"
P=?NP will soon become irrelevant! I won't have to take theory of computation!
Someone read the 'from the dept. of' field..