A Proposal for the Evaluation of Adaptive Content Retrieval, Modification and Delivery

Abstract

A key advantage of Adaptive Hypermedia Systems (AHS) is their ability to re-sequence and reintegrate content to satisfy a particular user?s need, context or requirements. However, this requires large volumes of content, with appropriate granularities and suitable meta-data descriptions, representing a major impediment to the mainstream adoption of Adaptive Hypermedia. Open- corpus content is now widely available on the web, however, traditional information retrieval (IR) approaches are an inadequate means of incorporating these external content resources within AHS. This is due to the ?one size fits all? content delivery paradigm offered by traditional IR. Slicing technology addresses these limitations by providing adaptive retrieval of open corpus resources, tailored to suit AHS specific content requirements. This is achieved through the on demand provision of tailored content called slices. This paper introduces slicing systems and details the objectives and challenges involved in the evaluation of such systems. A framework for the evaluation of slicing systems is presented along with a proposed experimental implementation.