Collaborative Filtering based on similarity suffers from a variety of problems such as sparsity and scalability. In this paper, we propose an ontological model of trust between us...
Alireza Zarghami, Soude Fazeli, Nima Dokoohaki, Mi...
—Recommender systems usually propose items to single users. However, in some domains like Mobile IPTV or Satellite Systems it might be impossible to generate a program schedule f...
Ludovico Boratto, Salvatore Carta, Alessandro Ches...
—The paper extends the traditional browser concept with a Semantic Web tailored faceted browser thus providing integrated end-user grade support for both legacy Web and Semantic ...
— Opinion mining is the task of extracting from a set of documents opinions expressed by a source on a specified target. This article presents a comparative study on the methods ...
Alexandra Balahur, Ralf Steinberger, Erik Van der ...
This paper proposes an automated web site evaluation approach using machine learning to cope with ranking problems. Evaluating web sites is a significant task for web service beca...
—The import of the notion of institution in the design of MASs requires to develop formal and efficient methods for modeling the interaction between agents’ behaviour and norm...
—We propose various logical semantics for change of awareness. The setting is that of multiple agents that may become aware of facts or other agents, or forget about them. We mod...
— In this paper, we evaluate a drama management approach deployed in an implementation of a graphical interactive fiction game. Our approach uses players’ feedback as a basis f...
—“Autonomic systems” merge advancements in the field of multi-agent software design, dynamic analysis, and decentralized control in order to assist designers in constructing...
Multi-agent systems (MAS) is an accepted paradigm in safety-critical systems, like the production automation. Agents control the underlying machinery they are representing and int...