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SIGECOM
2008
ACM
138views ECommerce» more  SIGECOM 2008»
13 years 7 months ago
Generalized scoring rules and the frequency of coalitional manipulability
We introduce a class of voting rules called generalized scoring rules. Under such a rule, each vote generates a vector of k scores, and the outcome of the voting rule is based onl...
Lirong Xia, Vincent Conitzer
PAAPP
2007
109views more  PAAPP 2007»
13 years 7 months ago
Relation rule mining
\Web users are nowadays confronted with the huge variety of available information sources whose content is not targeted at any specific group or layer. Recommendation systems aim...
Mehdi Adda, Rokia Missaoui, Petko Valtchev
ATAL
2010
Springer
13 years 8 months ago
Aggregating preferences in multi-issue domains by using maximum likelihood estimators
In this paper, we study a maximum likelihood estimation (MLE) approach to preference aggregation and voting when the set of alternatives has a multi-issue structure, and the voter...
Lirong Xia, Vincent Conitzer, Jérôme ...
DMKD
1997
ACM
198views Data Mining» more  DMKD 1997»
13 years 11 months ago
Clustering Based On Association Rule Hypergraphs
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad...
AAAI
2007
13 years 9 months ago
Uncertainty in Preference Elicitation and Aggregation
Uncertainty arises in preference aggregation in several ways. There may, for example, be uncertainty in the votes or the voting rule. Such uncertainty can introduce computational ...
Toby Walsh