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CIKM
2001
Springer
13 years 9 months ago
Selecting Relevant Instances for Efficient and Accurate Collaborative Filtering
Collaborative filtering uses a database about consumers’ preferences to make personal product recommendations and is achieving widespread success in both E-Commerce and Informat...
Kai Yu, Xiaowei Xu, Martin Ester, Hans-Peter Krieg...
BMCBI
2008
114views more  BMCBI 2008»
13 years 5 months ago
Combining classifiers for improved classification of proteins from sequence or structure
Background: Predicting a protein's structural or functional class from its amino acid sequence or structure is a fundamental problem in computational biology. Recently, there...
Iain Melvin, Jason Weston, Christina S. Leslie, Wi...
GFKL
2005
Springer
114views Data Mining» more  GFKL 2005»
13 years 10 months ago
Attribute-aware Collaborative Filtering
One of the key challenges in large information systems such as online shops and digital libraries is to discover the relevant knowledge from the enormous volume of information. Rec...
Karen H. L. Tso, Lars Schmidt-Thieme
RECSYS
2010
ACM
13 years 5 months ago
Incremental collaborative filtering via evolutionary co-clustering
Collaborative filtering is a popular approach for building recommender systems. Current collaborative filtering algorithms are accurate but also computationally expensive, and so ...
Mohammad Khoshneshin, W. Nick Street
ICWS
2009
IEEE
13 years 3 months ago
WSRec: A Collaborative Filtering Based Web Service Recommender System
As the abundance of Web services on the World Wide Web increase, designing effective approaches for Web service selection and recommendation has become more and more important. In...
Zibin Zheng, Hao Ma, Michael R. Lyu, Irwin King