Objeto de conferencia
Learning browsing patterns for context-aware recommendation
Autor
Godoy, Daniela Lis
Amandi, Analía
Institución
Resumen
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. IFIP International Conference on Artificial Intelligence in Theory and Practice - Agents 1 Red de Universidades con Carreras en Informática (RedUNCI)