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160
Voted
KDD
2004
ACM
209views Data Mining» more  KDD 2004»
16 years 4 months ago
Tracking dynamics of topic trends using a finite mixture model
In a wide range of business areas dealing with text data streams, including CRM, knowledge management, and Web monitoring services, it is an important issue to discover topic tren...
Satoshi Morinaga, Kenji Yamanishi
108
Voted
CHI
2006
ACM
16 years 4 months ago
Responsiveness in instant messaging: predictive models supporting inter-personal communication
For the majority of us, inter-personal communication is an essential part of our daily lives. Instant Messaging, or IM, has been growing in popularity for personal and workrelated...
Daniel Avrahami, Scott E. Hudson
150
Voted
STOC
2004
ACM
145views Algorithms» more  STOC 2004»
16 years 4 months ago
Using mixture models for collaborative filtering
A collaborative filtering system at an e-commerce site or similar service uses data about aggregate user behavior to make recommendations tailored to specific user interests. We d...
Jon M. Kleinberg, Mark Sandler
222
Voted
SIGMOD
2008
ACM
116views Database» more  SIGMOD 2008»
16 years 3 months ago
SPADE: the system s declarative stream processing engine
In this paper, we present Spade - the System S declarative stream processing engine. System S is a large-scale, distributed data stream processing middleware under development at ...
Bugra Gedik, Henrique Andrade, Kun-Lung Wu, Philip...
124
Voted
PODS
2007
ACM
122views Database» more  PODS 2007»
16 years 3 months ago
Privacy, accuracy, and consistency too: a holistic solution to contingency table release
The contingency table is a work horse of official statistics, the format of reported data for the US Census, Bureau of Labor Statistics, and the Internal Revenue Service. In many ...
Boaz Barak, Kamalika Chaudhuri, Cynthia Dwork, Sat...