International audienceWe present in this paper some attempts to design a Machine Learning method to predict preference knowledge in a multi-agents context. This approach is applied to a corporate knowledge management system
In multi-agent systems, most of the time, an agent does not have complete information about the pref...
International audienceAt the crossroad of preference learning and multicriteria decision aiding, rec...
Distributed Artificial Intelligence (DAI) has existed as a subfield of At for less than two decades....
Abstract. We present in this paper a Machine Learning method de-signed to predict preference knowled...
Contains fulltext : 55504.pdf (publisher's version ) (Closed access)An important i...
An important ingredient in agent-mediated electronic commerce is the presence of intelligent mediati...
An important ingredient in agent-mediated Electronic Commerce is the presence of intelligent mediati...
International audiencePreferences are fundamental to decision processes, because decision analysts m...
A recommender agent (RA) provides users with recommendations about products/ services. Recommendatio...
This dissertation focuses on developing new machine learning models and algorithms for the task of l...
Learning of preference relations has recently received significant attention in machine learning com...
In these last decades, both industrial and academic organizations have used extensively different le...
In multiagent systems, an agent does not usually have complete information about the preferences and...
Multi-Agent Systems (MAS) emerged in the pursuit to improve our standard of living, and hence can ma...
In multi-agent systems, most of the time, an agent does not have complete information about the pref...
International audienceAt the crossroad of preference learning and multicriteria decision aiding, rec...
Distributed Artificial Intelligence (DAI) has existed as a subfield of At for less than two decades....
Abstract. We present in this paper a Machine Learning method de-signed to predict preference knowled...
Contains fulltext : 55504.pdf (publisher's version ) (Closed access)An important i...
An important ingredient in agent-mediated electronic commerce is the presence of intelligent mediati...
An important ingredient in agent-mediated Electronic Commerce is the presence of intelligent mediati...
International audiencePreferences are fundamental to decision processes, because decision analysts m...
A recommender agent (RA) provides users with recommendations about products/ services. Recommendatio...
This dissertation focuses on developing new machine learning models and algorithms for the task of l...
Learning of preference relations has recently received significant attention in machine learning com...
In these last decades, both industrial and academic organizations have used extensively different le...
In multiagent systems, an agent does not usually have complete information about the preferences and...
Multi-Agent Systems (MAS) emerged in the pursuit to improve our standard of living, and hence can ma...
In multi-agent systems, most of the time, an agent does not have complete information about the pref...
International audienceAt the crossroad of preference learning and multicriteria decision aiding, rec...
Distributed Artificial Intelligence (DAI) has existed as a subfield of At for less than two decades....
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