A generic adaptation contextual model based on agents

As a consequence of the heterogeneity of devices and services, users receive a large volume of information that is generally not relevant to their characteristics. Therefore, the need to provide information that is significant to the user arises, which leads to the use of information adaptation, process in which a service is enriched with a set of characteristics. This process tailors information obtained from the context in which the interaction between the user and the system is taking place. However, it is difficult to find a generic environment that allows the mentioned process in any kind of scenario because it generally depends on the user's needs and on the conditions present in his/her interaction with the system. Due to adaptation, the user can receive in the most appropriate way information when and where he/she needs it. This paper presents the model of "BESA-Adaptado", a generic framework for agent-based adaptation that can be used by any application that needs to enrich services with the purpose of retrieving information that best suits the user's needs, context and characteristics.