Edited Adaptive Hypermedia: Combining Human and Machine Intelligence to Achieve Filtered Information
Kristina Höök, Åsa Rudström, Annika Wærn · 1997
We discuss a novel approach to filtering of hypermedia information based on an information broker and user environment coupled together. The advantage of the proposed approach, edited adaptive hypermedia , is that it combines human expertise with machine intelligence in order to achieve high quality of the filtered information provided to the end users. 1. Background and motivation Lately, adaptive hypermedia has attracted a lot of attention, as a means to tackle the problems users encounter with information overflow and navigation through large information spaces and ordinary hypermedia (Brusilovsky 1996, Höök et al. 1996). Adaptive hypermedia takes into account the fact that users vary in knowledge, cognitive skills and reasons for searching for information. By keeping a model of some aspects of user characteristics the system can adapt to and aid the user to navigate and filter information. A major difficulty in producing adaptive hypermedia systems, or indeed user-adaptive systems ...