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» Mining emerging patterns by streaming feature selection
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KDD
2009
ACM
223views Data Mining» more  KDD 2009»
14 years 8 months ago
Collaborative filtering with temporal dynamics
Customer preferences for products are drifting over time. Product perception and popularity are constantly changing as new selection emerges. Similarly, customer inclinations are ...
Yehuda Koren
HICSS
2007
IEEE
164views Biometrics» more  HICSS 2007»
14 years 1 months ago
The Social Structure of Tagging Internet Video on del.icio.us
Abstract— The ability to tag resources with uncontrolled metadata or “folksonomies” is often characterized as one of the central features of “Web 2.0” applications. Folks...
John C. Paolillo, Shashikant Penumarthy
PERCOM
2003
ACM
14 years 7 months ago
PILGRIM: A Location Broker and Mobility-Aware Recommendation System
Mobile computing adds a mostly unexplored dimension to data mining: user's position is a relevant piece of information, and recommendation systems, selecting and ranking link...
Mauro Brunato, Roberto Battiti
WSDM
2012
ACM
300views Data Mining» more  WSDM 2012»
12 years 3 months ago
Adding semantics to microblog posts
Microblogs have become an important source of information for the purpose of marketing, intelligence, and reputation management. Streams of microblogs are of great value because o...
Edgar Meij, Wouter Weerkamp, Maarten de Rijke
KDD
2005
ACM
124views Data Mining» more  KDD 2005»
14 years 8 months ago
A multinomial clustering model for fast simulation of computer architecture designs
Computer architects utilize simulation tools to evaluate the merits of a new design feature. The time needed to adequately evaluate the tradeoffs associated with adding any new fe...
Kaushal Sanghai, Ting Su, Jennifer G. Dy, David R....