By Dr. Peter Brusilovsky (auth.), Peter Brusilovsky, Alfred Kobsa, Julita Vassileva (eds.)
Hypertext/hypermedia platforms and user-model-based adaptive platforms within the components of studying and data retrieval have for a very long time been regarded as at the same time specific techniques to details entry. Adaptive structures tailor details to the consumer and should consultant the consumer within the details house to offer the main proper fabric, bearing in mind a version of the user's pursuits, pursuits and personal tastes. Hypermedia structures, nevertheless, are `user neutral': they supply the person with the instruments and the liberty to discover a knowledge area through looking via a posh community of data nodes. Adaptive hypertext and hypermedia platforms try to bridge the space among those ways.
version of hypermedia structures to every person person is more and more wanted. With the turning out to be dimension, complexity and heterogeneity of present hypermedia structures, resembling the realm extensive internet, it turns into nearly very unlikely to impose directions on authors in regards to the total association of hypermedia details. The networks hence develop into so complicated and unstructured that the prevailing navigational instruments aren't any longer strong adequate to supply orientation on the place to go looking for the wanted details. it's also impossible to spot applicable pre-defined paths or subnets for clients with definite targets and information backgrounds because the consumer neighborhood of hypermedia platforms is mostly really inhomogeneous. this is often quite real for Web-based functions that are anticipated for use by means of a miles larger number of clients than any past standalone program.
a potential therapy for the unwanted effects of the conventional `one-size-fits-all' strategy within the improvement of hypermedia platforms is to equip them with the facility to adapt to the desires of theirindividual users. a potential means of accomplishing adaptivity is through modeling the clients and tailoring the system's interactions to their objectives, initiatives and pursuits. during this feel, the thought of adaptive hypertext/hypermedia comes obviously to indicate a hypertext orhypermedia method which displays a few beneficial properties of the consumer and/orcharacteristics of his procedure utilization in a consumer version, and makes use of thismodel with a purpose to adapt numerous behavioral facets of the process tothe user.
This publication is the 1st accomplished e-book on adaptive hypertext and hypermedia. it's orientated in the direction of researchers and practitioners within the fields of hypertext and hypermedia, info platforms, and customized structures. it's also an enormous source for the varied builders of Web-based purposes. The layout judgements, model tools, and adventure provided during this e-book are a special resource of rules and methods for constructing extra usable and extra clever Web-based structures compatible for an exceptional number of clients. The practitioners will locate it very important that a number of the version concepts offered during this ebook have proved to be effective and are able to be utilized in quite a few applications.
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Additional info for Adaptive Hypertext and Hypermedia
If a node is not to be visible, then all contextual links to this node will be changed from hot words to normal text. The rule-based hiding technique is very flexible. By manipulating with hiding rules it is possible to implement several local and global orientation support methods based on hiding, such as hiding not ready to be learned nodes, or hiding nodes which belong to the subsequent lessons. In SYPROS hiding is used to implement the explanation variants method of content adaptation. The hyperspace contains several nodes devoted to the same concepts which are oriented toward users with different levels of knowledge.
1996). A node in Hypadapter is represented as a frame which usually has several "relation" slots storing different kinds of links to related nodes. Hypadapter uses a set of rules to calculate the relevance of links for each relational slot from the current node. Each applicable rule can increment or decrement the relevance value of the link depending on specific features of the link and the node behind it. Then the system uses a combination of sorting, hiding, and annotation to show relevance to the user: first, the links are sorted according to the relevance, second, the system uses three different font sizes to annotate very relevant, relevant, and less relevant links, third, the system hides irrelevant links.
BASAR uses intelligent agents to collect and maintain an actual set of links relevant to one of the user's goals. The agents can search regularly for new relevant items and identify expired or changed items. Currently we can hardly formulate any methods (as generalization of existing techniques) for managing personalized views, but it can be done very soon because several research groups are start working on BASAR-like systems for WWW. 4. , 1993) which can be considered as an on-line information system or IR hypermedia system.