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Huh. I've been having the same idea. Except it doesn't have to be limited to HN. I was thinking more along the lines of a standalone system that you can give RS
by zephyrfalcon 16y ago
Huh. I've been having the same idea. Except it doesn't have to be limited to HN. I was thinking more along the lines of a standalone system that you can give RSS feeds or whatever (a way to fetch new articles, in any case). You train it like a spam filter, except you mark articles are interesting or uninteresting. It goes out, gets more articles, presents the ones with the best scores, you train it further, etc.
I've been kicking this idea around for a while, but like you, I haven't actually started, mostly because I'm not sure about the best way to do it. (E.g. web app, traditional desktop app, etc. Not to mention the implementation language...)
- sigil 16y agoCheck out newsblur.com. The code is on github (all python and js).
- zephyrfalcon 16y agoThat looks almost like what I had in mind... except you have to tell it what you like and don't like about an article (limited to author, title, publisher). What I had in mind was, feed the text of the article to a bayesian filter, and let the system make decisions based on that. At first sight, telling newsblur that you like an author or publisher, doesn't seem to useful... you might as well subscribe to their feed in a regular RSS reader then. But maybe I'm misunderstanding it.
- samd 16y agoI thought your idea was great and then I tried out NewsBlur and came to the same conclusion you did. It seems to be filtering based on title, author, publisher, and tag rather than doing any statistical filtering of the text. That's not very useful because I already know who produces great content consistently and I subscribe to their feeds. What I need is a way to filter out the good articles from inconsistent sources.