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» Swarming Behavior Using Probabilistic Roadmap Techniques
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STOC
2004
ACM
145views Algorithms» more  STOC 2004»
14 years 7 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
VLDB
2007
ACM
129views Database» more  VLDB 2007»
14 years 1 months ago
Anytime Measures for Top-k Algorithms
Top-k queries on large multi-attribute data sets are fundamental operations in information retrieval and ranking applications. In this paper, we initiate research on the anytime b...
Benjamin Arai, Gautam Das, Dimitrios Gunopulos, Ni...
ISWC
2000
IEEE
13 years 12 months ago
What Shall We Teach Our Pants?
If a wearable device can register what the wearer is currently doing, it can anticipate and adjust its behavior to avoid redundant interaction with the user. However, the relevanc...
Kristof Van Laerhoven, Ozan Cakmakci
PODC
2004
ACM
14 years 29 days ago
On the design of distributed protocols from differential equations
We propose a framework to translate certain subclasses of differential equation systems into distributed protocols that are practical. The synthesized protocols are state machine...
Indranil Gupta
KDD
2002
ACM
127views Data Mining» more  KDD 2002»
14 years 8 months ago
Mining knowledge-sharing sites for viral marketing
Viral marketing takes advantage of networks of influence among customers to inexpensively achieve large changes in behavior. Our research seeks to put it on a firmer footing by mi...
Matthew Richardson, Pedro Domingos