Top 10 wicked cool algorithms

A round up of interesting algorithms and look at how they impact your community.

The old saying goes everyone's a comedian. Well in this case perhaps every computer. The University of California Berkeley joke recommendation site, dubbed Jester, rates humor on a scale of "less funny" to "more funny." It then recommends jokes based on the user's taste (or lack thereof), dynamically making recommendations based on the user's most recent ratings. Jester's more than a joke jukebox though. Underlying it is a Berkeley-patented "collaborative filtering algorithm" dubbed Eigentaste. The more people who use the system and rate jokes (4 million-plus ratings have been made so far, according to a recent story on the UC Berkeley Web site) the more data Berkeley researchers have to advance their understanding of recommendation systems, such as those used by Amazon.com and other Web sites.

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