41–50 of 58 posts
The classifier is already struggling. It doesn't seem that this is a sustainable way of classifying links, especially since the classification of technical/non-technical is arbitrary itself. I'll be trying out some other things to improve it today; email me if you want to chat about it.
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What about a generic My Hacker News with a classifier trained on each person's personal "I want to see / I do not want to see" preferences? :>
HN doesn't need subreddits.
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This sounds pretty awesome. Would you mind posting some of the code? I'd be curious to know how you're formatting the input data. If you're just using the title, all of the text parsed through BeautifulSoup, some parsing algorithm to obtain the body of the article, etc. Not too long ago, I wrote a python script to automatically extract the bodies of articles, which you may find useful: http://blog.davidziegler.net/po…
Thanks. I'll definitely post the code soon. I'm using the title, the submitter's name, the URL, and the page content without tags (only looking at and similar tags would probably help). Including the content of the HN comments pages might help, too. Thanks for the link; I'll check it out.
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HN doesn't need subreddits.
why? I notice you've received (18) upvotes, which in this case probable means agreement, so there's obviously some support for not having this feature. Is it specifically subreddits to avoid? I completely agree that subreddits are a terrible implementation of user-content customization because they force items into a single-parent hierarchy. However, categories that filter content according to different weights would…
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That doesn't sound very social. Aren't most programming/math/science also "time-wasting", so to speak?
People want to read about programming. Right now, there are three options: * News.YC, which rarely has articles about programming anymore (perhaps one or two a day). * Programming Reddit, whose commentators think every article is a jab at The One True Idea, which they seem to think is PHP. * Lambda the Ultimate, which only covers a small area of programming; language design and implementation I want a site like LtU b…
(There is overlap with the programming and web development, but something like usability guidelines fits in web development but not programming. By my definition, anyway.)
Here's the source: http://hackerhackernews.com/hhn-20090706.tgz The classifier is already struggling. It doesn't seem that this is a sustainable way of classifying links, especially since the classification of technical/non-technical is arbitrary itself. I'll be trying out some other things to improve it today; email me if you want to chat about it.
Earlier quoted context omitted.
why? I notice you've received (18) upvotes, which in this case probable means agreement, so there's obviously some support for not having this feature. Is it specifically subreddits to avoid? I completely agree that subreddits are a terrible implementation of user-content customization because they force items into a single-parent hierarchy. However, categories that filter content according to different weights would…
The fear I have is it would splinter the community.
I made this in a few hours for my own personal use and thought that other people might want to use it, too. It uses a Python Bayesian classifier trained on about 200 hand-labeled links and outputs a static HTML file. It's not perfect (and the technical/non-technical distinction is arbitrary), but I'll give it some more training data and see if it improves. Also, I don't mean to disparage non-technical topics with thi…
I made this in a few hours for my own personal use and thought that other people might want to use it, too. It uses a Python Bayesian classifier trained on about 200 hand-labeled links and outputs a static HTML file. It's not perfect (and the technical/non-technical distinction is arbitrary), but I'll give it some more training data and see if it improves. Also, I don't mean to disparage non-technical topics with thi…
I think you've stumbled on something that Hacker News needs: Categories.
Here's the source: http://hackerhackernews.com/hhn-20090706.tgz The classifier is already struggling. It doesn't seem that this is a sustainable way of classifying links, especially since the classification of technical/non-technical is arbitrary itself. I'll be trying out some other things to improve it today; email me if you want to chat about it.
FYI I'm having problems decompressing this file. Could you re-post it? or alternatively throw the code up on something like github?