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2008
ACM
16 years 7 months ago
Yes, there is a correlation: - from social networks to personal behavior on the web
Characterizing the relationship that exists between a person's social group and his/her personal behavior has been a long standing goal of social network analysts. In this pa...
Parag Singla, Matthew Richardson
KDD
2009
ACM
156views Data Mining» more  KDD 2009»
16 years 7 months ago
Turning down the noise in the blogosphere
In recent years, the blogosphere has experienced a substantial increase in the number of posts published daily, forcing users to cope with information overload. The task of guidin...
Khalid El-Arini, Gaurav Veda, Dafna Shahaf, Carlos...
KDD
2009
ACM
173views Data Mining» more  KDD 2009»
16 years 7 months ago
Constant-factor approximation algorithms for identifying dynamic communities
We propose two approximation algorithms for identifying communities in dynamic social networks. Communities are intuitively characterized as "unusually densely knit" sub...
Chayant Tantipathananandh, Tanya Y. Berger-Wolf
KDD
2009
ACM
140views Data Mining» more  KDD 2009»
16 years 7 months ago
Improving clustering stability with combinatorial MRFs
: ? Improving Clustering Stability with Combinatorial MRFs Bekkerman, Ron; Scholz, Martin; Viswanathan, Krishnamurthy HP Laboratories HPL-2009-46 Clustering stability, combinatoria...
Ron Bekkerman, Martin Scholz, Krishnamurthy Viswan...
KDD
2008
ACM
147views Data Mining» more  KDD 2008»
16 years 7 months ago
Structured learning for non-smooth ranking losses
Learning to rank from relevance judgment is an active research area. Itemwise score regression, pairwise preference satisfaction, and listwise structured learning are the major te...
Soumen Chakrabarti, Rajiv Khanna, Uma Sawant, Chir...
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