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GFKL
2007
Springer
180views Data Mining» more  GFKL 2007»
14 years 4 months ago
Content-based Dimensionality Reduction for Recommender Systems
Recommender Systems are gaining widespread acceptance in e-commerce applications to confront the information overload problem. Collaborative Filtering (CF) is a successful recommen...
Panagiotis Symeonidis
ICDE
2008
IEEE
141views Database» more  ICDE 2008»
14 years 11 months ago
A General Framework for Fast Co-clustering on Large Datasets Using Matrix Decomposition
Abstract-- Simultaneously clustering columns and rows (coclustering) of large data matrix is an important problem with wide applications, such as document mining, microarray analys...
Feng Pan, Xiang Zhang, Wei Wang 0010
ESWA
2008
166views more  ESWA 2008»
13 years 9 months ago
Modular design to support green life-cycle engineering
The severe competition in the market has driven enterprises to produce a wider variety of products to meet consumers' needs. However, frequent variation of product specificat...
Hwai-En Tseng, Chien-Chen Chang, Jia-Diann Li
DL
1999
Springer
111views Digital Library» more  DL 1999»
14 years 2 months ago
TalkMine and the Adaptive Recommendation Project
TalkMine is an adaptive recommendation system which is both content-based and collaborative, and further allows the crossover of information among multiple databases searched by u...
Luis Mateus Rocha
FLAIRS
2004
13 years 11 months ago
In-Depth Analysis of Similarity Knowledge and Metric Contributions to Recommender Performance
Initial successes in the area of recommender systems have led to considerable early optimism. However as a research community, we are still in the early days of our understanding ...
Derry O'Sullivan, Barry Smyth, David C. Wilson