糖心TV

A great body of previous research shows that personalization is a highly desirable method for online content delivery, based on the offline model of one to one personal interactions. Many different engines have been proposed to support such personalization on the Web. They all however have some weaknesses, which may have been partially responsible for the slow uptake of these promising techniques. Therefore, this paper discusses the advantages and problems with current adaptation engines, as well as proposes a new adaptation engine, ADE, the Adaptive Display Environment for Adaptive Hypermedia, and compares it with arguably the most famous and flexible current adaptation engine delivered by research, AHA!. This comparison is done from both a technical point of view, as well as with the help of a user study, and finds that ADE is significantly better received than AHA! in a user’s overall personal preference, as well as ADE’s layout and navigational interfaces.