Peer-Reviewed Journal Details
Mandatory Fields
Sorensen, H.; O'Riordan, A.; O'Riordan, C.;
1997
January
Journal of Universal Computer Science
Profiling With the INFOrmer Text Filtering Agent
Published
()
Optional Fields
text filtering relevance feedback spreading activation
3
8
988
1006
INFOrmer is an intelligent fi ltering system, currently being applied to the management of USENET News articles. An individual may have one or more pro files, each representing a long-term interest of that user. The user pro le is then used to measure the relevance of incoming articles and lter out irrelevant documents. A user profi le may be modi fied as a result of relevance feedback, so that it adjusts to users' changing interests. This paper discusses the architecture of INFOrmer and covers the profi le/document representation and comparison techniques adopted within the system.
0948-6968
http://www.jucs.org/jucs_3_8/profiling_with_the_informer/Sorensen_H.pdf
Grant Details