The Internet Archive has a preservation copy of this work in our general collections.
The file type is application/pdf
.
Machine Learning of User Profiles: Representational Issues
[article]
1997
arXiv
pre-print
As more information becomes available electronically, tools for finding information of interest to users becomes increasingly important. The goal of the research described here is to build a system for generating comprehensible user profiles that accurately capture user interest with minimum user interaction. The research described here focuses on the importance of a suitable generalization hierarchy and representation for learning profiles which are predictively accurate and comprehensible. In
arXiv:cmp-lg/9712002v2
fatcat:5a5l6vakdfh45iy76uusxh5yca