Recommendation Systems & Netflix
Here's an interesting article from the NY Times on recommendation systems and Netflix: http://tinyurl.com/kckl6
To quote the Times:
"Recommendation systems, also known as collaborative filtering systems, try to predict whether a customer will like a movie, book or piece of music by comparing his or her past preferences to those of other people with similar tastes. Such systems will look at, say, the last 10 books, movies or songs a customer has rated highly and try to extrapolate an 11th."
Amazon.com has already shown that such systems can be used to sell books and perhaps libraries would do well to augment Online Public Access Catalogs (OPACs) with recommendation features (many OPACs already store patrons' borrowing histories, right?). Perhaps such an implementation is presently impracticable. At any rate, the article is interesting, relevant to our class, and (in my opinion) warrants a read.