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Earlier quoted context omitted.
I'm guessing that for your purpose, you might catch more interesting stories from the /classic page than /news. Do you mind sharing the scraping code?
I'd prefer to not post the code publicly, simply because I don't want to encourage people to put extra load on the HN server -- but if you want a copy, send me an email and I'll provide it.
I really like this idea and will give it a try, but FYI http://news.ycombinator.com/best serves a similar purpose. I'm not sure of the exact criteria for it, but its basically very highly-voted articles that are fairly recent. I've been thinking of limiting myself to /best to keep my HN time in check, so you're definitely onto something.
The problem with /best in my view is that links gradually come and go -- it's the right format for "what are the recent interesting stories", but it's not the right format for "what are the most interesting stories since the last time I was here".
cperciva, I really appreciate the effort you put into this. One thing I find a bit depressing is that even though this scheme hugely reduces the time one spends on HN by filtering the articles according to votes, the top voted articles are not the ones that I would want to read. I usually come here for that "hacker" hacker news (hackerhackernews.com used to be something like this, but now the domain name has expired…
Are points of a story only a sum of direct up votes? Or does it already factor in age, number of comments, etc.?
cperciva, I really appreciate the effort you put into this. One thing I find a bit depressing is that even though this scheme hugely reduces the time one spends on HN by filtering the articles according to votes, the top voted articles are not the ones that I would want to read. I usually come here for that "hacker" hacker news (hackerhackernews.com used to be something like this, but now the domain name has expired…
I wonder if any social-links-sites (hacker news, reddit etc.) have tried with an algorithm similar to that which last.fm uses, where you get suggestions on stories based on which previous stories you have shown preference for? (I'm sure this sort of ranking has some fancy name as well)
If not - Why?
cperciva, I really appreciate the effort you put into this. One thing I find a bit depressing is that even though this scheme hugely reduces the time one spends on HN by filtering the articles according to votes, the top voted articles are not the ones that I would want to read. I usually come here for that "hacker" hacker news (hackerhackernews.com used to be something like this, but now the domain name has expired…
I second this! I would gladly pay 5-10 bucks a month for a daily digest of top hacking-related articles (no business, no politics and no Apple rumours/speculations). HN used to be 80% programming and 20% business-related, now it's the opposite.
This doesn't really solve the problem though. There's still to much information to manage it. I wonder if any social-links-sites (hacker news, reddit etc.) have tried with an algorithm similar to that which last.fm uses, where you get suggestions on stories based on which previous stories you have shown preference for? (I'm sure this sort of ranking has some fancy name as well) If not - Why?
If I recall, it was based on your activity (this was pre-subreddits) so if you interacted with lots of political stories, for instance, similar political stories would be suggested.
The problem was if you downmodded a bunch of articles involving Ron Paul, your recommended links would be Ron Paul articles.