Information domain modeling for adaptive Web systems

This paper presents a domain modeling system, which builds a domain model framework for adaptive Web systems. It records concepts and the relationships among them and represents them as a concept network. To speed up run time searches, the system finds all related concepts offline and in advance by calculating the optimal paths between all pairs of concepts. In addition, a new algorithm, rich maximal frequent sequence algorithm, is introduced in the system for discovering frequent sequence patterns among concepts. For the purpose of evaluation, the system is applied to an adaptive Web system. The experiments demonstrate that the adaptive Web system is improved in the performance of accurate page recommendations and quick responses.