Computer Science – Computation and Language
Scientific paper
1997-12-09
Computer Science
Computation and Language
6 pages
Scientific paper
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 our experiments we evaluated both traditional features based on weighted term vectors as well as subject features corresponding to categories which could be drawn from a thesaurus. Our experiments, conducted in the context of a content-based profiling system for on-line newspapers on the World Wide Web (the IDD News Browser), demonstrate the importance of a generalization hierarchy and the promise of combining natural language processing techniques with machine learning (ML) to address an information retrieval (IR) problem.
Bloedorn Eric
MacMillan Richard T.
Mani Inderjeet
No associations
LandOfFree
Machine Learning of User Profiles: Representational Issues does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Machine Learning of User Profiles: Representational Issues, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Machine Learning of User Profiles: Representational Issues will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-16069