1. Bridging Navigation, Search and Adaptation: AH Models Evolution Evgeny Knutov, David Smits, Paul De Bra and Mykola Pechenizkiy

2. Outline: Adaptive Hypermedia Navigation versus Search From Dexter through AHAM to GAF GAF generic adaptation framework (layered model) structure and process Conclusions and Future Work / Department of Computer Science PAGE 114-6-2015

3. Example of Inserting/Removing Fragments Before reading about Xanadu the URL page shows: –… In Xanadu (a fully distributed hypertext system, developed by Ted Nelson at Brown University, from 1965 on) there was only one protocol, so that part could be missing. … After reading about Xanadu this becomes: –… In Xanadu there was only one protocol, so that part could be missing. …

4. Example of Link Hiding Example from AHA!: show only most relevant links –should be used “unidirectionally”: make more links become available, but never start hiding previously presented links

5. 10/07/10 Example of Dimming Fragments

6. 10/07/10 Adaptive Multimedia Presentation Conditional image inclusion Zoom/Scaling Stretchimage

7. 10/07/10 What Do We Adapt in AH? Content adaptation –adapting the information Adaptive navigation: –adapting the link anchors that are shown –adapting the link destinations –giving “overviews” for navigation support and for orientation support Adaptive presentation: –adapting the presentation of information –selecting the media and media-related factors such as image or video quality and size

8. Navigation vs. Search resolver function – link destination accessor function presentation specification / Department of Computer Science PAGE 714-6-2015 resolver accessor presentation

9. AHS evolution / Department of Computer Science PAGE 814-6-2015 Generalize AHS functionality in GAF Enhance GAF layered structure with the process Generalize adaptation process (incl. Search) Enrich GAF with new approaches, techniques

10. Classification of AH methods and techniques / Department of Computer Science PAGE 914-6-2015 Classification of AH methods and techniques integrated with adaptation process Basis for the AHS layered structure

11. GAF layered model: / Department of Computer Science PAGE 1014-6-2015 GAF aligns the order of the layers in the system according to the classification of AH methods and techniques Rotate layered structure of GAF and match with adaptation process flowcharts

12. GAF - Search “sequence chart”: / Department of Computer Science PAGE 1114-6-2015

13. Conclusions Similarity between Search and Navigation navigation is a special case of search AH Models evolution to capture search GAF layers and sequence to model different use-cases (Search, RecSys, etc.) / Department of Computer Science PAGE 1214-6-2015

14. / Department of Computer Science PAGE 1314-6-2015 Thanks! and Questions?