Using AI To Filter RSS Feeds
holden writes "According to a blog post, AideRSS has moved from closed to open beta. I've been using AideRSS over the past few weeks to filter my RSS feeds (including Slashdot and Reddit) and I've been quite impressed. They talk a bit about how the filtering system works, which apparently tracks a mixture of things, from pick-up in other blogs, to some clustering technology."
I'm not sure if it is bad form to comment on your own story, but here goes anyways :). You can take a look at the scored version of the slashdot RSS feed
here, or del.icio.us or my
(holden's) blog. There is also a really cool widget I've put on the side of my blog which lets people subscribe to only posts of a
certain quality (you can look at it here).
From TFA: ""Some of that data we show on the site itself: Technorati, del.icio.us, etc. Essentially, we're interested in measuring the 'social engagement' of each post. To make this a little less hand-wavy, I think we'll agree that a bookmark is nice but a comment involves more work, a trackback even more so, etc. - hence, engagement). Once we have all this data, we apply our 'secret sauce', which comes in a form of statistical analysis with respect to the author's previous history/posts. PostRank is not a global score, it's with respect to the blogger him/herself.""
;-)
Secret sauce? Why do I prefer open sauce?
One other way to filter RSS is by geographic location through using GeoRSS. However, the source RSS must be offered in GeoRSS for this geolocalization filtering to work... but it's only a matter of time, we'll get there. (hey, even slash has a plugin that works for publishing GeoRSS)
Animoog.org
If only they could get the AI to do the work I'm missing out when I'm reading RSS feeds.
There are some companies out there(i.e. http://www.collectiveintellect.com/) that are using AI to mine RSS feeds and specifically the blogosphere, and selling that data to corporations for various reasons.
Lets say you're a drug company that is releasing a potentially controversial drug. You can mine the data of the blogosphere and issue press releases as a pre-emptive strike to larger media stories. This starts the real beginning of being able to effectively monitor and even potentially control some of the social aspects of the internet. I think it's a great innovation indeed, with potentially scary side-effects.
Personally it is nice to be able to filter through a billion RSS feeds to find information that I'm interested in though.
All things are subject to interpretation, whichever interpretation prevails at a given time is a function of power and n
- The referring website (and what other people from that site liked)
- Your OS/Browser (and what other people with your OS/Browser liked)
- Your geographic location (and what other people close to you liked)
- What you yourself read
It also allows users to edit stories, a mechanism conceptually similar to a wiki, but with an additional voting process to help prevent abuse.Unlike AideRSS, Thoof isn't an RSS aggregator, rather users submit stories, in a manner similar to Slashdot, Digg, and Reddit.
What if the 'other blogs' they 'pick up' on, are in turn using AideRSS to determine what to blog. The whole blogging thing really does seem like one giant feedback loop with only a few people generating actual useful content.
I.O.U One Sig.
I suppose in these modern days when natural resources are being rapidly depleted by overpopulation and overconsumption, there had to come a time when we would start running out of intelligence... of course I wouldn't know because I'm a little short on it myself...
however
It is pleasing to see that scientists around the world have started to produce artificial intelligence to make up for the loss of natural intelligence, but I think that like everything else, perhaps it is also equally important that we conserve and recycle the little natural intelligence we have left and refine our methods to efficiently extract and use that intelligence to, uh, do something or other, but do it efficiently and without any needless waste. Yes, that's my point.
And to that end I see this Artificial Intelligence RSS Feed Filter as a great marvelous invention, because you see, it combines the old and the new, it uses artificial intelligence to extract natural intelligence efficiently and use it for something in a wonderful postmodern fashion. Now, modern invention assists the primitive natural.
Now, all we need is to have a massive SETI like project running this AI RSS Filler Feeder to search for signs of intelligence on slashdot. Oh, oh, cross my fingers, I hope my post makes it pass the filter...
Someone can correct me if I am wrong but it looks like your supposed to put your feeds into the website then link to the one feed there.
Seeing as half my feeds are internal work related and the fact I don't want someone profiling all feeds I am reading I won't be using the service.
http://www.nullwhore.com/sux0r/index.php?c=/0/logi n/ :-)
http://sourceforge.net/projects/sux0r/
What I find interesting is, it is one of the verrry rare examples of 'internet 2' service that you can own yourself (instead of registering here or there for more ads or worse).
A downside of Sux0r is it seems not having evolved for a couple of years (but still works, possibly that's why
I for one am desperately waiting for a *local* RSS agregator which would allow *me* (and not some site's AI) to Bayes-filter my selected feeds. I'm almost sure this will happenn sooner or later.
Herve S.
I think there are basically two kinds of RSS Feeds, either they show the latest news (last in first out) or they show an already sorted frontpage (e.g. "crowdsourced" like Digg); both are useful.
Using an AI to resort those feeds is definitely interesting from a coders point of view but trying to give some kind of objective view to a feed is probably not what the average user wants.
Why not do it the other way around and personalize them instead? Maybe it has been done before, but it would be nice if there was a reader to rerank (or even filter out) certain domains, keywords, tags and categories. It could take the given rank as the base score and then resort it according to the user's personal preference, e.g. if someone doesn't like politics he could give the keywords "Bush, Cheney, election, etc." a negative mulitplier and maybe the keyword "funny" gets a positive one. It could even consider the time of the day - politics in the morning and funny pictures during the lunchbreak or something.
Just a qick thought though, someone can perhaps come up with something better. Anyway, I am pretty sure that personalization is the better approach here.