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ACSAC
2006
IEEE
14 years 3 months ago
Enhancing Collaborative Spam Detection with Bloom Filters
Signature-based collaborative spam detection (SCSD) systems provide a promising solution addressing many problems facing statistical spam filters, the most widely adopted technol...
Jeff Yan, Pook Leong Cho
WECWIS
2005
IEEE
137views ECommerce» more  WECWIS 2005»
14 years 2 months ago
Using Singular Value Decomposition Approximation for Collaborative Filtering
Singular Value Decomposition (SVD), together with the Expectation-Maximization (EM) procedure, can be used to find a low-dimension model that maximizes the loglikelihood of obser...
Sheng Zhang, Weihong Wang, James Ford, Fillia Make...
SIGIR
2000
ACM
14 years 1 months ago
SWAMI: a framework for collaborative filtering algorithm development and evaluation
We present a Java-based framework, SWAMI (Shared Wisdom through the Amalgamation of Many Interpretations) for building and studying collaborative filtering systems. SWAMI consist...
Danyel Fisher, Kris Hildrum, Jason I. Hong, Mark W...
SPIRE
2010
Springer
13 years 7 months ago
Fingerprinting Ratings for Collaborative Filtering - Theoretical and Empirical Analysis
Abstract. We consider fingerprinting methods for collaborative filtering (CF) systems. In general, CF systems show their real strength when supplied with enormous data sets. Earl...
Yoram Bachrach, Ralf Herbrich
ECWEB
2011
Springer
233views ECommerce» more  ECWEB 2011»
12 years 9 months ago
Rating Elicitation Strategies for Collaborative Filtering
The accuracy of collaborative filtering recommender systems largely depends on two factors: the quality of the recommendation algorithm and the nature of the available item rating...
Mehdi Elahi, Valdemaras Repsys, Francesco Ricci