Adaptation and Recommendation in Modern Web 2.0 Portals

Andreas Nauerz; Rich Thompson

doi:10.4018/jwp.2009082101

Special Offers
- Acquire a Source of Open Access (OA) APC Funding for Your Institution Through
  IGI Global's OA Fee Waiver (Offset Model) Initiative
  For any library that invests in IGI Global's InfoSci-Books and/or InfoSci-Journals databases, IGI Global will match the library’s investment with a fund of equal value to go toward subsidizing the OA APCs for their faculty patrons when their work is submitted/accepted under OA into an IGI Global journal.
  Learn More
- Subscribe to the Latest Research Through IGI Global's InfoSci-OnDemand Plus
  InfoSci®-OnDemand Plus, a subscription-based service, provides researchers the ability to access full-text content from over 100,000+ peer-reviewed book chapters and 25,000+ scholarly journal articles that spans across 350+ topics in 11 core subjects. Users can select articles or chapters that meet their interests and gain access to the full content permanently in their personal online InfoSci-OnDemand Plus library.
  Subscribe
- Purchase the Encyclopedia of Information Science and Technology, Fourth Edition
  and Receive Complimentary E-Books of Previous Editions
  When ordering directly through IGI Global's Online Bookstore, receive the complimentary e-books for the first, second, and third editions with the purchase of the Encyclopedia of Information Science and Technology, Fourth Edition e-book.
  Purchase
- Create a Free IGI Global Library Account to Receive an Additional 5% Discount on All Purchases
  Exclusive benefits include one-click shopping, flexible payment options, free COUNTER 5 reports and MARC records, and a 5% discount on single all titles, as well as the award-winning InfoSci^®-Databases.
  Sign Up Now!
- Receive a 20% Discount on All Publications Purchased Through
  IGI Global’s Online Bookstore
  This discount cannot be combined with any other offer and is only valid when purchasing directly through IGI Global. (Exclusion of select titles and products may apply).
  Browse Publications
Books
Journals
InfoSci^®-Databases
Articles/Chapters
Publish with Us
Resources
- - Instructors
  - Course Adoption
  - Teaching Cases
  - Authors and Editors
  - eEditorial Discovery^® System
  - Peer Review Process
  - Ethics and Malpractice
  - Fair Use Policy
  - Open Access Publishing
  - Editorial Services
  - FAQ
Catalogs
About Us
Newsroom

Adaptation and Recommendation in Modern Web 2.0 Portals

Andreas Nauerz (IBM Research and Development, Germany) and Rich Thompson (IBM T.J. Watson Research Center, USA)

Source Title: International Journal of Web Portals (IJWP) 1(2)

DOI: 10.4018/jwp.2009082101

OnDemand PDF Download:

$37.50

Abstract

In this paper, we propose a generic recommender framework that allows transparently integrating different recommender engines into a Portal. The framework comes with a number of preinstalled recommender engines and can be extended by adding further such components. Recommendations are computed by each engine and then transparently merged. This ensures that neither the Portal vendor, nor the Portal operator, nor the user is burdened with choosing an appropriate engine and still high quality recommendations can be made. Furthermore we present means to automatically adapt the Portal system to better suit users needs.

Complete Article List

Search this Journal:

Reset

Open Access Articles: Forthcoming

Volume 12: 2 Issues (2020): 1 Released, 1 Forthcoming

Volume 11: 2 Issues (2019)

Volume 10: 2 Issues (2018)

Volume 9: 2 Issues (2017)

Volume 8: 1 Issue (2016)

Volume 7: 2 Issues (2015)

Volume 6: 4 Issues (2014)

Volume 5: 4 Issues (2013)

Volume 4: 4 Issues (2012)

Volume 3: 4 Issues (2011)

Volume 2: 4 Issues (2010)

Volume 1: 4 Issues (2009)

View Complete Journal Contents Listing

MLA

APA

Chicago

Export Reference

Adaptation and Recommendation in Modern Web 2.0 Portals

Abstract

Complete Article List