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What a waste. It would be trivial (and effective!) to simply implement a bayesian "spam" filter that operates on the text of headlines to promote or demote hea
by catalogia 7y ago
What a waste. It would be trivial (and effective!) to simply implement a bayesian "spam" filter that operates on the text of headlines to promote or demote headlines according to user rankings. This could be done completely on-device with utterly negligible power draw.
- londons_explore 7y agoThis is exactly how it works. Yet 400 boolean data points is nowhere near enough data for any kind of learning system to get anywhere. And without the cloud to aggregate data from millions of other users, it'll never become great.
- catalogia 7y agoFrom personal experience with a HN headline scraping IRC bot I wrote a few years ago, 400 labelled headlines is more than sufficient to get pretty good results. The threshold of usefulness should be closer to a few dozen rankings.