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» Practical Preference Relations for Large Data Sets
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ICDIM
2008
IEEE
14 years 2 months ago
A holographic associative memory recommender system
We describe a recommender system based on Dynamically Structured Holographic Memory (DSHM), a cognitive model of associative memory that uses holographic reduced representations a...
Matthew Rutledge-Taylor, Andre Vellino, Robert L. ...
ICML
2000
IEEE
14 years 9 months ago
Learning Subjective Functions with Large Margins
In manyoptimization and decision problems the objective function can be expressed as a linear combinationof competingcriteria, the weights of whichspecify the relative importanceo...
Claude-Nicolas Fiechter, Seth Rogers
DCC
2000
IEEE
14 years 25 days ago
Summary Structures for Frequency Queries on Large Transaction Sets
As large-scale databases become commonplace, there has been signi cant interest in mining them for commercial purposes. One of the basic tasks that underlies many of these mining ...
Dow-Yung Yang, Akshay Johar, Ananth Grama, Wojciec...
IUI
2004
ACM
14 years 1 months ago
Designing example-critiquing interaction
In many practical scenarios, users are faced with the problem of choosing the most preferred outcome from a large set of possibilities. As people are unable to sift through them m...
Boi Faltings, Pearl Pu, Marc Torrens, Paolo Viappi...
SBP
2010
Springer
14 years 1 months ago
Social Network Data and Practices: The Case of Friendfeed
Due to their large worldwide adoption, Social Network Sites (SNSs) have been widely used in many global events as an important source to spread news and information. While the sear...
Fabio Celli, F. Marta L. Di Lascio, Matteo Magnani...