That's a lot of feeds

The great thing about RSS feeds is that they let you quickly scan zillions of headlines, something you couldn't do in the bad old days when you had to click through to all those different sites you're interested in. But there are limits. Wesner Moise says he subscribes to 1,000(!) feeds and finds himself wishing for more powerful RSS filtering tools:

"The reader would analyze the content of a new post, compute via Bayesian techniques the probability of interest given the probability that similar posts with similar keywords and properties from the same feed (and other feeds) have been interesting in the past. There would need to a way to rate each post. Rating could be done explicitly by clicking a set of buttons, though I am not in favor of this approach. The ideal way would implicitly infer a rating from a post through a user's actions such as deleting quickly or saving a post, in the same way that WinFS automatically paints metadata into documents through file operations (copying, for example, a document to a folder automatically generates keywords from the name of all the parent folders). Under the same technique, I could also see which of my feeds tend to generate mostly or all noise, and delete those underperforming feeds."