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That 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). Wha
by zephyrfalcon 16y ago
That 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.