The success of personal information agents depends on their capacity to both identify relevant information for users and proactively recommend context-relevant information. In this paper, we propose an approach to enable proactive context-aware recommendation based on the knowledge of both user interests and browsing patterns. The pro- posed approach analyzes the browsing behavior of users to derive a semantically enhanced context that points out the information which is likely to be relevant for a user according to its current activities.
Notas
IFIP International Conference on Artificial Intelligence in Theory and Practice - Agents 1
Información general
Fecha de exposición:agosto 2006
Fecha de publicación:agosto 2006
Idioma del documento:Inglés
Evento:19 th IFIP World Computer Congress - WCC 2006
Institución de origen:Red de Universidades con Carreras en Informática (RedUNCI)
Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)