Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Providing Service-based Personalization in an Adaptive Hypermedia System

Yudelson, Michael V. (2010) Providing Service-based Personalization in an Adaptive Hypermedia System. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

[img]
Preview
PDF
Primary Text

Download (3MB) | Preview

Abstract

Adaptive hypermedia is one of the most popular approaches of personalized information access. When the field started to emerge, the expectation was that soon nearly all published hypermedia content could be adapted to the needs, preferences, and abilities of its users. However, after a decade and a half, the gap between the amount of total hypermedia content available and the amount of content available in a personalized way is still quite large.In this work we are proposing a novel way of speeding the development of new adaptive hypermedia systems. The gist of the approach is to extract the adaptation functionality out of the adaptive hypermedia system, encapsulate it into a standalone system, and offer adaptation as a service to the client applications. Such a standalone adaptation provider reduces the development of adaptation functionality to configuration and compliance and as a result creates new adaptive systems faster and helps serve larger user populations with adaptively accessible content.To empirically prove the viability of our approach, we developed PERSEUS - server of adaptation functionalities. First, we confirmed that the conceptual design of PERSEUS supports realization of a several of the widely used adaptive hypermedia techniques. Second, to demonstrate that the extracted adaptation does not create a significant computational bottleneck, we conducted a series of performance tests. The results show that PERSEUS is capable of providing a basis for implementing computationally challenging adaptation procedures and compares well with alternative, not-encapsulated adaptation solutions. As a result, even on modest hardware, large user populations can be served content adapted by PERSEUS.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Yudelson, Michael V.myudelson@gmail.com
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairBrusilovsky, Peterpeterb@pitt.eduPETERB
Committee MemberHe, Daqingdaqing@sis.pitt.eduDAH44
Committee MemberSpallek, Heikohspallek@pitt.eduHSPALLEK
Committee MemberSpring, Michaelspring@pitt.eduSPRING
Committee MemberZadorozhny, Vladimirvladimir@sis.pitt.eduVIZ
Date: 23 December 2010
Date Type: Completion
Defense Date: 17 September 2010
Approval Date: 23 December 2010
Submission Date: 13 October 2010
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: adaptive hypermedia architectures; adaptive hypermedia systems; performance evaluation; service-based personalization; user modeling
Other ID: http://etd.library.pitt.edu/ETD/available/etd-10132010-092137/, etd-10132010-092137
Date Deposited: 10 Nov 2011 20:02
Last Modified: 15 Nov 2016 13:50
URI: http://d-scholarship.pitt.edu/id/eprint/9463

Metrics

Monthly Views for the past 3 years

Plum Analytics


Actions (login required)

View Item View Item