Community-driven adaptation.
Published: 2004
Language: eng
Number of pages: 78
Description: Mobile devices are increasingly being used to access Web content but lack the resources for proper presentation to the user. To address this problem, content is typically adapted to be more suitable for a mobile environment. Community-Driven Adaptation (CDA) is a novel approach to automatic content adaptation, which uses feedback to adapt content. CDA groups users into communities based on common characteristics, and assumes that users of the same community have similar adaptation requirements. CDA learns how to adapt content by observing how members of a community alter adapted content to make it more useful to them. We created a trace gathering system and observed how users adapted content in a controlled environment. Experiments were conducted on the traces and show that CDA reduces wastage of network bandwidth by up to 90% and requires less user interaction to correct bad adaptation decisions compared with existing approaches to automatic content adaptation.
Notes: Adviser: Eyal de Lara.

Thesis (M.Sc.)--University of Toronto, 2004.

Electronic version licensed for access by U. of T. users.

Source: Masters Abstracts International, Volume: 42-06, page: 2240.

MICR copy on microfiche (1 microfiche).