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Interesting points! We are using a naive Bayes classifier right now, and we're working with some social aspects, especially as they relate to Latent Semantic A
by ardell 18y ago
Interesting points! We are using a naive Bayes classifier right now, and we're working with some social aspects, especially as they relate to Latent Semantic Analysis. We've considered doing a mini Netflix Prize for further improving our algorithm :-).
We've also done a lot of tweaking to get the current filter as smart as possible (thanks PG for your thoughts in A Plan for Spam!) Tweaked things like the number of interesting words to count, weighting of title vs body, etc.
We'd love to talk with some machine learning experts, drop me a note if you are one!
- Prrometheus 18y agoI'm not an expert, just interested in the subject. I thought of an idea, and this is completely fresh so take it with a grain of salt, but you could use social data from all users subscribed to the same feed to modify the prior probability that any given post was interesting, and then use each individual's data to modify the conditional posterior probability terms. I'm not sure how effective it would be, but it would create a hybrid sort of classifier that might be interesting. I'm studying natural language processing this quarter, so I'll let you know in three months if I come up with something more clever.