Topic development pattern analysis-based adaptation of information spaces

摘要: While navigation within complex information spaces is a challenge for all users, the problem most evident with individuals who are blind or visually impaired. A particular faced by students when accessing documents in digital libraries that long almost impenetrable these users cannot skim through large effectively and organize re-organize later use new contexts. We highlight adaptation personalization of textual media can be possible only novel algorithms segment content to its basic units enable pick, recombine, into personalized documents. This multi-faceted requires research technical challenges from user modeling context analysis. In this paper, we focus on two specific key media: content-segmentation content-reorganization. particular, show topic development analysis fundamental supporting both tasks. The proposed paper analyze patterns without having distill topics, thereby keeping overall processes light weight.