Titles

Authors

Affiliations

 

A Probabilistic Temporal Interval Algebra Based Multi-agent Scheduling System

 

Elhadi Shakshuki, André Trudel, Yiqing Xu and Boya Li

 

 

Jodrey School of Computer Science,

Acadia University,

Canada

 

Making Use of Fipa Multiagent Architecture to Develop Animated Pedagogical Agents Inside Intelligent Learning Environments

 

 

Joel Pinho Lucas, Beatriz Wilges and Ricardo Azambuja Silveira

 

 

Universidade Federal de Pelotas

Department of Informatics,

Brasil

 

 

A NCM-based Framework for Navigation Recommender Systems

 

 

Tong Zheng and Randy Goebel

 

Department of Computing Science,

University of Alberta,

Canada

 

A Proposal for an Agent-based Architecture for Context-aware Personalization in the Semantic Web

 

 

Wolfgang Woerndl and Georg Groh

 

 

Technische Universitaet Muenchen,

Institut fuer Informatik,

Germany

 

 

Negotiation for task allocation among agents in case-base recommender systems: a swarm-intelligence approach

 

 

Fabiana Lorenzi

 

 

Instituto de Informatica, UFRGS

Universidade Luterana do Brasil,

Brasil

 

Daniela Scherer dos Santos and Ana L. C. Bazzan

 

Instituto de Informatica, UFRGS,

Brasil

 

Utilizing Multiple Agents In Dynamic Product Recommendations

 

 

Timothy A. Musgrove

 

 

CNET Networks, Inc.,

AI Research Group,
USA

 

 

Relational Graphical Models for Collaborative Filtering and Recommendation  of Computational Workflow Components

 

William H. Hsu

 

 

Laboratory for Knowledge Discovery in Databases,

Kansas State University,

USA

 

 

Language Games: Learning Shared Concepts in Distributed Information Agents

 

 

Conor Hayes, Paolo Avesani and Marco Cova

 

 

ITC-IRST,

Italy

 

 

Implicit: A recommender system that uses implicit knowledge to produce suggestions

 

 

Alexander Birukov, Enrico Blanzieri and Paolo Giorgini

 

Dipartimento Informatica e Telecomunicazioni,

University of Trento,

Italy

 

 

Conversational CBR in Multi-Agent Recommendation

 

 

David McSherry

 

 

School of Computing and Information Engineering,

University of Ulster,

Northern Ireland

 

 

Reducing Critiquing Repetition in Conversational Recommendation

 

 

Maria Salamo, Barry Smyth, Kevin McCarthy, James Reilly, Lorraine McGinty

 

 

Adaptive Information Cluster, Smart Media Institute,

Department of Computer Science,

University College Dublin (UCD),

Ireland

 

 

Discovery of Business Opportunities on the Internet with Information Extraction

 

 

François Paradis and Jian-Yun Nie

 

 

Université de Montréal,

Canada

Arman Tajarobi

 

Nstein Technologies,

Canada

 

 

Feature combination in a recommender system using distributed items: the case of JukeBlog

 

 

Hugues Tremblay-Beaumont and Esma Aïmeur

 

 

Université de Montréal,

Canada

 

Trust and Bias in Multi-Agent Recommender Systems

 

 

Robin Burke and Bamshad Mobasher

 

 

School of Computer Science, Telecommunications and Information Systems,

DePaul University,

USA