Profiling with the INFOrmer Text Filtering Agent

dc.creatorSorensen,Humphrey
dc.creatorRiordan,Adrian
dc.creatorRiordan,Colm
dc.date1997
dc.date.accessioned2024-02-06T12:49:02Z
dc.date.available2024-02-06T12:49:02Z
dc.descriptionINFOrmer is an intelligent filtering system, currently being applied to the management of USENET News articles. An individual may have one or more profiles, each representing a long-term interest of that user. The user profile is then used to measure the relevance of incoming articles and filter out irrelevant documents. A user profile may be modified as a result of relevance feedback, so that it adjusts to users changing interests. This paper discusses the architecture of INFOrmer and covers the profile/document representation and comparison techniques adopted within the system.
dc.formattext/html
dc.identifierhttps://doi.org/10.3217/jucs-003-08-0988
dc.identifierhttps://lib.jucs.org/article/27405/
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/7205
dc.languageen
dc.publisherJournal of Universal Computer Science
dc.relationinfo:eu-repo/semantics/altIdentifier/eissn/0948-6968
dc.relationinfo:eu-repo/semantics/altIdentifier/pissn/0948-695X
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsJ.UCS License
dc.sourceJUCS - Journal of Universal Computer Science 3(8): 988-1006
dc.subjectText filtering
dc.subjectsemantic network
dc.subjectspreading activation
dc.subjectrelevance feedback.
dc.titleProfiling with the INFOrmer Text Filtering Agent
dc.typeResearch Article
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