IntWEB: An Al-based approach for adaptive web

Date

2010-12-01

Author

Alkan, Oznur Kirmemis
Karagöz, Pınar

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

19
views

0
downloads

Cite This

The World Wide Web is an endless source of information, which is mainly represented in the form of Web pages. The way that the users browse the Web depends on both user-oriented factors like the information the users are seeking for and site-oriented factors like the attractiveness of the Web sites, the structure or more specifically, the navigational organization. However, the site's design changes through time, due to factors like including more information about items or introducing new items. In addition, the user's needs and preferences also change, which together bring difficulties for building Web sites that best suit users' needs. Therefore, it is a very important and challenging task to adapt the Web sites automatically in order to facilitate users' navigation in the Web site. This paper proposes a solution to adapt Web sites structural organization according to users' navigation patterns. In the proposed solution, the adaptive web problem is formulated as a classical AI search problem, and a novel Hill Climbing based solution is devised. The proposed solution is realized in a framework, namely IntWEB. The technique is applied to a real-life case study and results are discussed in order to evaluate IntWEB's performance.

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84891917691&origin=inward
https://hdl.handle.net/11511/107240

Collections

Department of Computer Engineering, Conference / Seminar