Utility-Based Neighbourhood Formation

This paper proposes novel neighbourhood formationand similarity weight transformation schemes for automatedcollaborative filtering systems. it demonstrate the benefitsof new schemes from the point-of-view of the efficiency androbustness provided, while achieving the accuracy and coverageof a benchmark k–Nearest Neighbour (k–NN) model.

Source: ACM Library

Amazon.com Recommendations-item to item collaborative filtering

Amazon.com used item to item collaborative filltering which has online computation scale independantly of number of users and number of items in catalog. Unlike traditional collaborative filtering where system finds similer set of customer who has purchased same items as current customer, amazon.com tries to find items which are similer to one that current customer has already purchased,viewed or recommended.

The entire report can be found here.

http://www.win.tue.nl/~laroyo/2L340/resources/Amazon-Recommendations.pdf

SVD Recommendation System in Ruby

SVD recommendation system was used to rank the user feedback gor the Big Family Fuys show.

The Entire News Can be found here.
http://www.igvita.com/2007/01/15/svd-recommendation-system-in-ruby/