scispace - formally typeset
Open AccessJournal ArticleDOI

Adaptive Hypermedia

Peter Brusilovsky
- Vol. 11, Iss: 1, pp 87-110
Reads0
Chats0
TLDR
Adaptive hypermedia as mentioned in this paper is a relatively new direction of research on the crossroads of hypermedia and user modeling, which builds a model of the goals, preferences and knowledge of each individual user, and use this model throughout the interaction with the user, in order to adapt to the needs of that user.
Abstract
Adaptive hypermedia is a relatively new direction of research on the crossroads of hypermedia and user modeling. Adaptive hypermedia systems build a model of the goals, preferences and knowledge of each individual user, and use this model throughout the interaction with the user, in order to adapt to the needs of that user. The goal of this paper is to present the state of the art in adaptive hypermedia at the eve of the year 2000, and to highlight some prospects for the future. This paper attempts to serve both the newcomers and the experts in the area of adaptive hypermedia by building on an earlier comprehensive review (Brusilovsky, 1996; Brusilovsky, 1998).

read more

Content maybe subject to copyright    Report

Citations
More filters
Proceedings ArticleDOI

Developing a context-aware electronic tourist guide: some issues and experiences

TL;DR: An evaluation of GUIDE, an intelligent electronic tourist guide that combines mobile computing technologies with a wireless infrastructure to present city visitors with information tailored to both their personal and environmental contexts is presented.
Journal ArticleDOI

Collaborative Filtering Recommender Systems

TL;DR: A wide variety of the choices available and their implications are discussed, aiming to provide both practicioners and researchers with an introduction to the important issues underlying recommenders and current best practices for addressing these issues.
Journal ArticleDOI

Generic User Modeling Systems

TL;DR: A review of the development of generic user modeling systems over the past twenty years is given in this article, which describes their purposes, their services within user-adaptive systems, and the different design requirements for research prototypes and commercially deployed servers.
Book ChapterDOI

Adaptive and Intelligent Web-based Educational Systems

TL;DR: A challenging research goal is the development of adaptive and intelligent Web-based educational systems (W-AIES) that offer some amount of adaptivity and intelligence.
Journal ArticleDOI

Learning Analytics The Emergence of a Discipline

TL;DR: It is argued that LA has sufficiently developed, through conferences, journals, summer institutes, and research labs, to be considered an emerging research field.
References
More filters
Journal ArticleDOI

Fab: content-based, collaborative recommendation

TL;DR: It is explained how a hybrid system can incorporate the advantages of both methods while inheriting the disadvantages of neither, and how the particular design of the Fab architecture brings two additional benefits.
Journal ArticleDOI

Methods and techniques of adaptive hypermedia

TL;DR: This paper is a review of existing work on adaptive hypermedia and introduces several dimensions of classification of AH systems, methods and techniques and describes the most important of them.
Proceedings Article

Letizia: an agent that assists web browsing

TL;DR: Letizia is a user interface agent that assists a user browsing the World Wide Web by automates a browsing strategy consisting of a best-first search augmented by heuristics inferring user interest from browsing behavior.
Proceedings Article

Syskill & webert: Identifying interesting web sites

TL;DR: The naive Bayesian classifier offers several advantages over other learning algorithms on this task and an initial portion of a web page is sufficient for making predictions on its interestingness substantially reducing the amount of network transmission required to make predictions.
Journal ArticleDOI

Generic User Modeling Systems

TL;DR: A review of the development of generic user modeling systems over the past twenty years is given in this article, which describes their purposes, their services within user-adaptive systems, and the different design requirements for research prototypes and commercially deployed servers.