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Title: A formal model for personalities, adaptive hyperlink-based systems
Author: Ohene-Djan, James Francis
ISNI:       0000 0001 2419 6309
Awarding Body: Goldsmiths College (University of London)
Current Institution: Goldsmiths College (University of London)
Date of Award: 2000
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The attraction of hyperlink-based interaction as a model for information retrieval has long been recognised and has increased in popularity with the mainstream emergence of largescale hypermedia systems such as the World-Wide Web (WWW). For hypermedia systems to realise their full potential, researchers have postulated that such systems should exhibit sophisticated, knowledge-based personalisation and adaptation (P&A) features, without which users’ information retrieval goals are less likely to be achieved. As a result of these postulations, personalisable, adaptive hyperlink-based systems (PA-HLBSs) have arisen as a new topic of hypermedia research. This dissertation contributes a novel abstract approach to the formal characterisation of the interaction process which takes place between the user of a hyperlink-based system (HLBS) and the system itself. This research addresses the issue of how hyperlink-based systems can be endowed with features which enable the personalisation and adaptation of the interaction process. This research also addresses the specific issue of how to characterise precisely the emergent properties of HLBSs and thereby make possible a systematic, principled and exhaustive elicitation of the space of possible P&A actions. The approach is unique in formally modelling a rich set of abstract user-initiated P&A actions which enable individual users to come closer to satisfying their specific, and often dynamic, information retrieval goals. Furthermore, the model indicates how systeminitiated P&A actions fit cohesively and non-disruptively with user-initiated ones. The model proposed is descriptive, rather than prescriptive, and is cast at a level of abstraction above that of concrete systems exploring current technologies. The model aims to be the foundation for a systematic investigation of the nature, scope and effects of user and system-initiated tailoring actions on HLBSs for information retrieval. Such an approach, it is hoped, will allow for user and system-initiated P&A actions to be studied with greater conceptual clarity than is possible with technology-driven experimentation. The dissertation also contains a brief overview of PAS, a personalisable HLBS which instantiates the major aspects of the proposed model, thereby substantiating the claim that the abstract approach taken allows not only for a greater understanding of what personalisation and adaptivity means in the context of HLBSs, but also how the model may aid the design of such systems.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available