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DEBU
2008
186views more  DEBU 2008»
15 years 2 months ago
A Survey of Collaborative Recommendation and the Robustness of Model-Based Algorithms
The open nature of collaborative recommender systems allows attackers who inject biased profile data to have a significant impact on the recommendations produced. Standard memory-...
Jeff J. Sandvig, Bamshad Mobasher, Robin D. Burke
ECSCW
2001
15 years 3 months ago
PolyLens: A recommender system for groups of user
We present PolyLens, a new collaborative filtering recommender system designed to recommend items for groups of users, rather than for individuals. A group recommender is more appr...
Mark O'Connor, Dan Cosley, Joseph A. Konstan, John...
109
Voted
DANCE
2002
IEEE
15 years 7 months ago
SANDS: Specialized Active Networking for Distributed Simulation
This paper provides an overview of SANDS (Specialized Active Networking for Distributed Simulation), a DARPA-ITO sponsored research project that is using active networking to deve...
Steve Zabele, M. Dorsch, Zihui Ge, Ping Ji, Mark K...
118
Voted
ISBI
2004
IEEE
16 years 3 months ago
Dimensionality and Degrees of Freedom in fMRI Data Analysis - A Comparative Study
Two- and three-dimensional isotropic and anisotropic spatial filters for adaptive fMRI data analysis are compared in terms of activation detection sensitivity and specificity. Eva...
Joakim Rydell, Magnus Borga, Hans Knutsson, Peter ...
CHI
2005
ACM
16 years 2 months ago
Context-aware collaborative filtering system: predicting the user's preferences in ubiquitous computing
In this paper I propose a context-aware collaborative filtering system that can predict a user's preference in different context situations based on past user-experiences. Th...
Annie Chen