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MICAI
2005
Springer
14 years 1 months ago
Agent-Based Simulation Replication: A Model Driven Architecture Approach
In Multi-agent based simulation (MABS) systems, computational models are built as multi-agent systems (MAS). Replication of these models can contribute to improve the reliability o...
Candelaria Sansores, Juan Pavón
ARGMAS
2006
Springer
13 years 11 months ago
Negotiating Using Rewards
In situations where self-interested agents interact repeatedly, it is important that they are endowed with negotiation techniques that enable them to reach agreements that are pro...
Sarvapali D. Ramchurn, Carles Sierra, Lluis Godo, ...
CSCW
1998
ACM
13 years 11 months ago
Using Filtering Agents to Improve Prediction Quality in the GroupLens Research Collaborative Filtering System
Collaborative filtering systems help address information overload by using the opinions of users in a community to make personal recommendations for documents to each user. Many c...
Badrul M. Sarwar, Joseph A. Konstan, Al Borchers, ...
WSDM
2012
ACM
246views Data Mining» more  WSDM 2012»
12 years 3 months ago
Auralist: introducing serendipity into music recommendation
Recommendation systems exist to help users discover content in a large body of items. An ideal recommendation system should mimic the actions of a trusted friend or expert, produc...
Yuan Cao Zhang, Diarmuid Ó Séaghdha,...
WEBDB
2010
Springer
171views Database» more  WEBDB 2010»
14 years 18 days ago
Improved Recommendations via (More) Collaboration
We consider in this paper a popular class of recommender systems that are based on Collaborative Filtering (CF for short). CF is the process of predicting customer ratings to item...
Rubi Boim, Haim Kaplan, Tova Milo, Ronitt Rubinfel...