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Recommender Systems for E-Commerce
Recommender Systems for E-Commerce - Trends
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The Bikes not Binkies reference is something I thought of as I was monitoring the great Twitter conversation during yesterday's very successful AMA webcast on Personalization featuring our head of marketing, Carlos Carvajal. First generation personalization systems relied very heavily on a user's past behavior or tried to box them into a particular category. For me, this box, is always whatever I was last buying my kids. So while my 3 and 4 year old are ready for bikes, some sites, which will go un-named, are still trying to sell me binkies, in otherwords baby stuff. Personalization is really a ...
The recommendation scheme I laid out in part one of this article is what’s known as “user-based collaborative filtering”, meaning that recommendations are computed by finding similar users and then recommending products that those users liked. Because of the computational limitations of user-based collaborative filtering, around 2001 there was a shift to what’s known as “item-based collaborative filtering”. In item based collaborative filtering, instead of first finding related users and then using those users to find related products or content, ... Read More
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Recommender System based on Model Similarity at the Mining Software Archives (MSA) 2010
Program for the Future - Professor Paul Resnick
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