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CIKM
2001
Springer
13 years 10 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...
ISCAS
2003
IEEE
100views Hardware» more  ISCAS 2003»
13 years 10 months ago
Area-effective FIR filter design for multiplier-less implementation
The hardware complexity of digital filters is not controllable by straightforwardly rounding the coefficients to the quantization levels. In this paper, we propose an effective al...
Tay-Jyi Lin, Tsung-Hsun Yang, Chein-Wei Jen
ADAPTIVE
2007
Springer
13 years 11 months ago
Collaborative Filtering Recommender Systems
One of the potent personalization technologies powering the adaptive web is collaborative filtering. Collaborative filtering (CF) is the process of filtering or evaluating items th...
J. Ben Schafer, Dan Frankowski, Jonathan L. Herloc...
KDD
2005
ACM
163views Data Mining» more  KDD 2005»
14 years 5 months ago
Data Sparsity Issues in the Collaborative Filtering Framework
Abstract. With the amount of available information on the Web growing rapidly with each day, the need to automatically filter the information in order to ensure greater user effici...
Miha Grcar, Dunja Mladenic, Blaz Fortuna, Marko Gr...
JCDL
2005
ACM
95views Education» more  JCDL 2005»
13 years 11 months ago
Link prediction approach to collaborative filtering
Recommender systems can provide valuable services in a digital library environment, as demonstrated by its commercial success in book, movie, and music industries. One of the most...
Zan Huang, Xin Li, Hsinchun Chen