Add to ORKGMany business and social studies require modeling individual differences in choice behavior by asking respondents to rank alternatives. However, this kind of data present some particularities, related to their non-continuous and bounded character that should be taken into account by the models
The problem of ranking arises ubiquitously in almost every aspect of life, and in particular in Mach...
textabstractIn this paper we consider the situation where one wants to study the preferences of indi...
Ranking problems are ubiquitous and occur in a variety of domains that include social choice, inform...
Although neural networks are commonly encountered to solve classification problems, ranking data pre...
In this paper, we introduce two artificial neural network formulations that can be used to assess th...
Louviere et al. (2008. J. of Choice Modelling, 1, 126-163) present two main empirical examples in wh...
In this paper, we present a connectionist approach to preference learning. In particular, a neural n...
textabstractThe concept of consideration sets makes brand choice a two-step process. House-holds fir...
Relevance ranking consists in sorting a set of objects with respect to a given criterion. However, i...
In a preference learning setting, every participant chooses an ordered list of $k$ most preferred it...
This paper examines the potential of a neural network (NN) approach to the analysis of ‘hedonic’ reg...
International audienceThis paper investigates the use of neural networks for the acquisition of sele...
This paper investigates the use of neural networks for the acquisition of selectional preferences. I...
Learning of preference relations has recently received significant attention in machine learning com...
This paper considers the use of neural networks to model bounded rational behaviour. The underlying ...
The problem of ranking arises ubiquitously in almost every aspect of life, and in particular in Mach...
textabstractIn this paper we consider the situation where one wants to study the preferences of indi...
Ranking problems are ubiquitous and occur in a variety of domains that include social choice, inform...
Although neural networks are commonly encountered to solve classification problems, ranking data pre...
In this paper, we introduce two artificial neural network formulations that can be used to assess th...
Louviere et al. (2008. J. of Choice Modelling, 1, 126-163) present two main empirical examples in wh...
In this paper, we present a connectionist approach to preference learning. In particular, a neural n...
textabstractThe concept of consideration sets makes brand choice a two-step process. House-holds fir...
Relevance ranking consists in sorting a set of objects with respect to a given criterion. However, i...
In a preference learning setting, every participant chooses an ordered list of $k$ most preferred it...
This paper examines the potential of a neural network (NN) approach to the analysis of ‘hedonic’ reg...
International audienceThis paper investigates the use of neural networks for the acquisition of sele...
This paper investigates the use of neural networks for the acquisition of selectional preferences. I...
Learning of preference relations has recently received significant attention in machine learning com...
This paper considers the use of neural networks to model bounded rational behaviour. The underlying ...
The problem of ranking arises ubiquitously in almost every aspect of life, and in particular in Mach...
textabstractIn this paper we consider the situation where one wants to study the preferences of indi...
Ranking problems are ubiquitous and occur in a variety of domains that include social choice, inform...