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I think it was supposed to cluster users who often voted the same way, and then infer that if a user voted up an article, most people in the same cluster as tha
by abstractbill 19y ago
I think it was supposed to cluster users who often voted the same way, and then infer that if a user voted up an article, most people in the same cluster as that user would also like the article.
It never worked for me unfortunately.
- soundsop 19y agoIt never worked for me unfortunately. Me neither. I wonder why it didn't work. They certainly have enough of a dataset to play with by now. I wonder if it's computationally too intensive to continually update each user's results, or too difficult to come up with a good algorithm. Does this "recommended page" problem bear any resemblance to the Netflix prize problem? Creating a good recommended page would certainly lure me back to reddit.
- rms 19y agoI don't think the founders have much of an incentive to change reddit a whole lot. Also, the existing algorithm is definitely computationally intensive: it takes 12 seconds to generate a new recommended page.
- dr 19y agoThat would be a better strategy if they advertised it well. It would give users a strong incentive to vote on articles.