Hideaki Takeda's Publication
- M. Hamasaki and H. Takeda: Experimental Results
for a method to discover of human relationship based on WWW bookmarks, in
N. Baba, L. C. Jain and R. J. Howlett eds., In Proceedings of Fifth
International Conference on Knowledge-Based Intelligent Information
Engineering Systems & Allied Thchnologies (KES-2001), Vol. 2, pp.
1291–1295, Osaka (2001), IOS Press.
(Paper)
In this paper, we show how human network can be found and used on
WWW. We proposed a system called kMedia that can assist users to form
knowledge for community by showing shared topics networks (STN) among them.
kMedia uses bookmarks as users' knowledge because the structure of bookmarks
and web pages registered in bookmarks reflect user's interest. We conducted
an experiment to know how kMedia can support users. One result is that folder
recommendation is more effective than page recommendation. The other is that
recommendation is more effective for people belonging to the same real
communities than those to different communities. According to these result,
we propose a new measurement called category resemblance that is
recommendation measurement based on resemblance of folder structures. This
measurement shows higher than all other system generated parameters and human
evaluation to detect human relationship.
Hideaki Takeda (National Institute of Informatics)