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[OT/META] subscriptions[OT/META] subscriptionsPosted Nov 7, 2012 16:03 UTC (Wed) by pboddie (subscriber, #50784)In reply to: [OT/META] subscriptions by farnz Parent article: Let’s Limit the Effect of Software Patents, Since We Can’t Eliminate Them (Wired)
if Corbet and company have an algorithm that can accurately judge whether a particular comment thread is interesting to me or not, then they've got something genuinely worthy of a software patent I imagine that a Bayesian classifier as seen in things like Spambayes would do the trick, one again showing that something appearing patentable to one observer is most likely to be familiar and even mundane to another.
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[OT/META] subscriptions Posted Nov 7, 2012 20:09 UTC (Wed) by farnz (guest, #17727) [Link] A Bayesian classifier is not enough - to meet the stated goal, the classifier has to identify cases where due to circumstances outside its knowledge (e.g. me reading LWN while sitting up with a sick child), my interests are broader than normal, and identify cases where my tolerance for off-topic is reduced (e.g. because said sick child has resulted in sleep deprivation). An algorithm that could detect my mood based purely on my reading patterns, and tweak a Bayesian classifier accordingly would be quite impressive.
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