P.M.E. De Bra

TL;DR: The paper shows how combining the fish search with a cache greatly reduces these problems and highlights the properties and implementation of a client-based search tool called the “ fish-search ” algorithm, and compares it to other approaches.

TL;DR: In this article, the authors examine adaptation questions stated in the very beginning of the adaptive hypermedia era and elaborate on their recent interpretations, and review open questions of system extensibility introduced in adjacent research fields and try to come up with an up-to-date taxonomy of adaptation techniques.

TL;DR: This paper describes the "third generation AHA", called Adaptive Hypermedia for All, which is being developed as an open source project sponsored by the NLnet Foundation, and focuses on the authoring interface for creating the conceptual structure of an adaptive application.

TL;DR: A reference model for adaptive hypermedia applications, called AHAM, is described, which encompasses most adaptive features supported by adaptive systems that exist today or that are being developed (and have been published about).

TL;DR: The case study itself is aimed at showing that even with a modest size dataset and well-defined problems it is still rather hard to obtain meaningful and truly insightful results with a set of traditional data mining approaches and techniques.