PIFA: Designing a Personalized Information Filtering Algorithm for Knowledge Management Systems
Journal Title: Annals. Computer Science Series - Year 2010, Vol 8, Issue 2
Abstract
A study on the concept of “personalized information filtering” system was carried out. Natural Language Processing (NLP) was used to tag the words, and metrics such as TF-IDF was used to weigh each term in the document. Relevance feedback was used to get users’ judgments. The approach promises to push relevant information directly to the user in a timely and efficient manner.
Authors and Affiliations
Olusegun Folorunso, Rebecca Olufunke Vincent, Oni Oluwaseyi Akanji, Adewale Opeoluwa Ogunde
Keywords
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