Title
From Physical Agents to Recommender Agents
Abstract
In this paper, we argue in favour of the interchange of research results between physical agents and recommender systems. Certain properties, such as introspection and physical foundations of physical agents, are mapped into agents that model and make recommendations to users from the subjective, content-based point of view of products and services. How this real-to-virtual mapping of properties and behaviours can be performed is the main goal of our work, from which we expect to obtain a general concept of recommender agents which improves the state of the art in terms of performance and maintainability. Furthermore, new features of the recommender agents could be also mapped to the physical agents discipline. Some of the features explained are installed in two personalization company products: Proto-agent and Habitat-Pro.
Year
DOI
Venue
2003
10.1007/3-540-36561-3_8
AgentLink
Keywords
Field
DocType
general concept,physical agents discipline,physical foundation,recommender agent,main goal,content-based point,recommender system,certain property,new feature,physical agent
Introspection,Recommender system,World Wide Web,Computer science,Physical agents,Physical body,Maintainability,Java virtual machine,The Internet,Personalization
Conference
Volume
ISSN
ISBN
2586
0302-9743
3-540-00759-8
Citations 
PageRank 
References 
1
0.36
5
Authors
4
Name
Order
Citations
PageRank
Josep Lluís De La Rosa126041.38
Esteve del Acebo27611.10
Beatriz López331942.30
Miquel Montaner420523.60