Slicepedia open corpus slicing for Adaptive Web Systems

Loading...
Thumbnail Image

Date

Journal Title

Journal ISSN

Volume Title

Publisher

Trinity College (Dublin, Ireland). School of Computer Science & Statistics

Access

openAccess

Embargo end date

Citation

Killian Levacher, 'Slicepedia open corpus slicing for Adaptive Web Systems', [thesis], Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2014, pp 358

Abstract

The growing demand for user experiences on the web addressing individual needs, is driving the mainstream adoption of personalisation technologies across broad fields of interests. Adaptive Web Systems (AWSs) have traditionally attempted to deliver dynamically adapted and personalised experiences to users, through the sequencing and adaptation of recomposable content. The adaptivity offered by these systems however, can be restricted by a lack of sufficient resources, which represents a major obstacle to their widespread adoption. So as to serve the largest possible audience, common sense encouraged the labor intensive and limited production of such resources, to target the common and predictable needs of users in higher demand, by delivering one-size-fits-all recomposable material, of type and quantity predetermined in advance.

Description

Endorsement

Review

Supplemented By

Referenced By

Qualification name: Doctor of Philosophy (Ph.D.)
Publisher: Trinity College (Dublin, Ireland). School of Computer Science & Statistics
Type of material: thesis