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» Transfer Learning in Collaborative Filtering for Sparsity Re...
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ACMSE
2006
ACM
13 years 11 months ago
Support vector machines for collaborative filtering
Support Vector Machines (SVMs) have successfully shown efficiencies in many areas such as text categorization. Although recommendation systems share many similarities with text ca...
Zhonghang Xia, Yulin Dong, Guangming Xing
ICCBR
2001
Springer
13 years 9 months ago
A Case-Based Reasoning View of Automated Collaborative Filtering
From some perspectives Automated Collaborative Filtering (ACF) appears quite similar to Case-Based Reasoning (CBR). It works on data organised around users and assets that might be...
Conor Hayes, Padraig Cunningham, Barry Smyth
ICML
2007
IEEE
14 years 5 months ago
Learning a meta-level prior for feature relevance from multiple related tasks
In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...
Su-In Lee, Vassil Chatalbashev, David Vickrey, Dap...
ICML
2009
IEEE
14 years 5 months ago
Learning spectral graph transformations for link prediction
We present a unified framework for learning link prediction and edge weight prediction functions in large networks, based on the transformation of a graph's algebraic spectru...
Andreas Lommatzsch, Jérôme Kunegis
HICSS
2005
IEEE
159views Biometrics» more  HICSS 2005»
13 years 10 months ago
A Repeatable Collaboration Process for Usability Testing
Evaluating the usability of an application is a crucial activity in systems development projects. It is often done collaboratively, involving groups of current or future users, us...
Gert-Jan de Vreede, Ann L. Fruhling, Anita Chakrap...