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I am a researcher in Sun Labs where I explore new ways to organize, search for, and discover music. Read more on the Search Inside the Music project page .
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Posted by Calum on May 28, 2007 at 08:49 PM EDT #
Posted by Greg Linden on May 29, 2007 at 11:13 AM EDT #
Greg - Don't get me wrong, I like Amazon's recommender quite a bit .. the last time I shopped at Amazon (last week), I went to buy one book, and ended up buying three, on the strength of the recommendations and supported by customer reviews. I think Amazon's rec engine is probably the best out there ... nevertheless, there are times when it falls short, and as typical with CF systems, when the recommender goes awry it yields puzzling or humorous results such as the Narnia and Nose hair example (I still find myself lying awake at night mumbling to myself "Narnia, nose hair .. what is the connection?").
Indeed, serendipity and novelness are traits of a good recommender - most of the music recommenders I've seen lack that trait completely, I don't need a recommendation for The beatles or Radiohead, thank you very much.
I don't necessarily think that content-based filtering is called for to restrict items ... indeed I like the idea of cross genre recommendations - like 'the matrix', you may like this trench coat.
These posts are a way for me to keep track of the common types of mistakes that we see in recommenders. I use the Amazon recommendations as examples because everyone is familiar with these type of recommendations and there are plenty of examples to draw from. The goal is to get a better understanding of what people are looking for in a recommender. Novelness and serendipity are clearly important, but so are transparency and trust. If I get a recommendation, I like to know why something is being recommended ... and I like to know that the recommendation is not biased by the mob or by money.
Posted by Paul on May 29, 2007 at 01:07 PM EDT #