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SIGIR
2009
ACM
14 years 2 months ago
Temporal collaborative filtering with adaptive neighbourhoods
Recommender Systems, based on collaborative filtering (CF), aim to accurately predict user tastes, by minimising the mean error achieved on hidden test sets of user ratings, afte...
Neal Lathia, Stephen Hailes, Licia Capra
WETICE
2003
IEEE
14 years 27 days ago
Trust Dynamics for Collaborative Global Computing
Recent advances in networking technology have increased the potential for dynamic enterprise collaborations between an open set of entities on a global scale. The security of thes...
Colin English, Sotirios Terzis, Waleed Wagealla, H...
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
14 years 8 months ago
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
Srivatsava Daruru, Nena M. Marin, Matt Walker, Joy...
JCDL
2003
ACM
119views Education» more  JCDL 2003»
14 years 26 days ago
How Fast Is Too Fast? Evaluating Fast Forward Surrogates for Digital Video
To support effective browsing, interfaces to digital video libraries should include video surrogates (i.e., smaller objects that can stand in for the videos in the on, analogous t...
Barbara M. Wildemuth, Gary Marchionini, Meng Yang,...
CIKM
2005
Springer
14 years 1 months ago
Feature-based recommendation system
The explosive growth of the world-wide-web and the emergence of e-commerce has led to the development of recommender systems—a personalized information filtering technology use...
Eui-Hong Han, George Karypis