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AOSE
2005
Springer
15 years 12 months ago
Modeling Social Aspects of Multi-Agent Systems: The AML Approach
This paper presents modeling concepts and mechanisms of the Agent Modeling Language (AML) to model social aspects of multiagent systems. The modeling of structural, behavioral as w...
Radovan Cervenka, Ivan Trencanský, Monique ...
KDD
2003
ACM
129views Data Mining» more  KDD 2003»
16 years 6 months ago
Nantonac collaborative filtering: recommendation based on order responses
A recommender system suggests the items expected to be preferred by the users. Recommender systems use collaborative filtering to recommend items by summarizing the preferences of...
Toshihiro Kamishima
ICWSM
2009
15 years 4 months ago
A Comparative Analysis of Trust-Enhanced Recommenders for Controversial Items
A particularly challenging task for recommender systems (RSs) is deciding whether to recommend an item that received a variety of high and low scores from its users. RSs that inco...
Patricia Victor, Chris Cornelis, Martine De Cock, ...
IUI
2000
ACM
15 years 10 months ago
Learning to recommend from positive evidence
In recent years, many systems and approaches for recommending information, products or other objects have been developed. In these systems, often machine learning methods that nee...
Ingo Schwab, Wolfgang Pohl, Ivan Koychev
CHI
2008
ACM
16 years 6 months ago
Activity-based serendipitous recommendations with the Magitti mobile leisure guide
This paper presents a context-aware mobile recommender system, codenamed Magitti. Magitti is unique in that it infers user activity from context and patterns of user behavior and,...
Victoria Bellotti, James Bo Begole, Ed Huai-hsin C...