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KDD
2009
ACM
14 years 10 months ago
2009
ACM
Most of recommender systems try to find items that are most relevant to the older choices of a given user. Here we focus on the "surprise me" query: A user may be bored ...
KDD
2005
ACM
14 years 10 months ago
2005
ACM
In this paper, we propose a new way to automatically model and predict human behavior of receiving and disseminating information by analyzing the contact and content of personal c...
RECOMB
2008
Springer
14 years 10 months ago
2008
Springer
A key problem of interest to biologists and medical researchers is the selection of a subset of queries or treatments that provide maximum utility for a population of targets. For ...
RECOMB
2002
Springer
14 years 10 months ago
2002
Springer
We introduce a model-based analysis technique for extracting and characterizing rhythmic expression pro les from genome-wide DNA microarray hybridization data. These patterns are ...
STOC
2004
ACM
14 years 10 months ago
2004
ACM
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...