Profiling with the INFOrmer Text Filtering Agent
نویسندگان
چکیده
INFOrmer is an intelligent ltering system, currently being applied to the management of USENET News articles. An individual may h a v e one or more prooles, each representing a long-term interest of that user. The user proole is then used to measure the relevance of incoming articles and lter out irrelevant documents. A user proole may be modiied as a result of relevance feedback, so that it adjusts to users' changing interests. This paper discusses the architecture of INFOrmer and covers the prooleedocument representation and comparison techniques adopted within the system .
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عنوان ژورنال:
- J. UCS
دوره 3 شماره
صفحات -
تاریخ انتشار 1997