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Netflix Prize: Good science or not?
Greg Linden and Daniel Lemire have both written a little about the Netflix Prize and whether the systems that are doing the best are really worth anything. The KorBell system that recently won the...
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RateBeer 2.0
I am a fan of good beer. In this post I am going to talk about my ideas for how to improve websites that offer ratings for different varieties of beer, and how I think recommender systems would improve...
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Ensembles of kNN Recommenders
I’ve been messing around with recommender systems for the past year and a half, but not using the kNN (k-Nearest Neighbors) algorithm. However, my current homework assignment for my Information...
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SIGKDD Workshop on Large Scale Recommender Systems
The second workshop on large scale recommender systems will be at SIGKDD in Las Vegas this year. One of the main topics is the Netflix competition and Jim Bennett of Netflix is one of the co-chairs,...
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The limits of collaborative filtering?
Peter Turney posted recently on the logic of attributional and relational similarity. Attributes are features or characteristics of a single entity. Relations describe some connection between two...
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Netflix Prize just about wrapped up
Image via CrunchBase It looks like some of the top players in the Netflix Prize competition have teamed up and finally broke the 10% improvement barrier. I know I’m a few days late on this, though...
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Predicting movie ratings hereby declared dead
R.I.P. Movie Rating Prediction There is no longer any reason to bother researching new ways of predicting the ratings users will give to movies. It’s time to move on to more interesting things. But...
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Github announces recommender system contest
Github just announced their own version of the Netflix Prize. Instead of predicting movie ratings, Github wants you to suggest repositories for users to watch. This is different from the Netflix...
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