HN has a very high almostSignal-to-Nosie ratio. By that I mean that it has a lot of stuff that looks almost like something very important, but it's just not directly applicable to me at the moment. Kind of like talking to a really super smart interesting person -- but only about stuff they'd like to talk about. It's great to be here, but information is engaging and scattered all over the spectrum. I would say it's like drinking from a fire hose, but a fire hose goes in one direction. This is more being a great swimmer and jumping in a raging ocean. Lots of stuff to enjoy and keep you busy.
Because of this, I'm writing my own app for processing the web. A "browser for the easily engaged". It pulls the articles from all the major tech sites, including ranking, then it pulls the target articles. It learns what I like and don't like by doing Bayesian filtering on the client-side. Sort of a meta meta tech news app.
After all, how would a hacker consume news, if not by hacking it?
It learns what I like and don't like by doing Bayesian filtering on the client-side.
As a fellow geek, I like this idea but I've checked out similar systems over the years and found I could never fully get on board.. why? Because I ended up checking the source anyway to make sure I didn't miss anything that I might find interesting but that the filter filtered out anyway.
I can trust filtering for e-mail, since it wipes out non-content (usually). But filtering out content I "might not like" is tricky - I learn more about the world by being exposed to things I don't (initially) appreciate so I like to see a little noise in the mix. HN provides a sort of filtered noise that strikes just the right balance for me.
Yep I'm right there with you. I agree with everything you say.
So instead of filtering, I'm starting with Bayesian ranking. I agree about the pop-back-over thing too, but I wonder why? I'm really curious to see why I would pop back over to the regular site. As I identify these reasons, I can decide whether or not these are good reasons or not.
Basically I'd like to eventually have a stand-alone app. No point in making a web app if people can just like on another tab. So I've picked what I'm most comfortable with in stand-alone apps: Microsoft stack with F#. I'm using Webkit as a browser and doing some persistence in a MS Access database for now, although that will probably change.
I think I'm pretty far along for just a solo effort. It pulls all the main articles from HackerNews, Digg, Reddit, and a couple more places. You can view the target article and vote them up or down, all without leaving the app. Of course, like any project, still a long ways to go.
Because of this, I'm writing my own app for processing the web. A "browser for the easily engaged". It pulls the articles from all the major tech sites, including ranking, then it pulls the target articles. It learns what I like and don't like by doing Bayesian filtering on the client-side. Sort of a meta meta tech news app.
After all, how would a hacker consume news, if not by hacking it?