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KAIS
2011
102views more  KAIS 2011»
13 years 2 months ago
Symbolic data analysis tools for recommendation systems
Recommendation Systems have become an important tool to cope with the information overload problem by acquiring data about the user behavior. After tracing the user behavior, throu...
Byron Leite Dantas Bezerra, Francisco de Assis Ten...
ICML
2009
IEEE
14 years 8 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
WWW
2004
ACM
14 years 8 months ago
Spam attacks: p2p to the rescue
We propose a decentralized privacy-preserving approach to spam filtering. Our solution exploits robust digests to identify messages that are a slight variation of one another and ...
Ernesto Damiani, Sabrina De Capitani di Vimercati,...
CHI
2004
ACM
14 years 8 months ago
Slash(dot) and burn: distributed moderation in a large online conversation space
Can a system of distributed moderation quickly and consistently separate high and low quality comments in an online conversation? Analysis of the site Slashdot.org suggests that t...
Cliff Lampe, Paul Resnick
SIGMOD
2008
ACM
130views Database» more  SIGMOD 2008»
14 years 8 months ago
From del.icio.us to x.qui.site: recommendations in social tagging sites
We present x.qui.site, a scalable system for managing recommendations for social tagging sites like del.icio.us. seamlessly incorporates various user behaviors into the recommenda...
Sihem Amer-Yahia, Alban Galland, Julia Stoyanovich...