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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  • EP ID EP139865
  • DOI -
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How To Cite

Olusegun Folorunso, Rebecca Olufunke Vincent, Oni Oluwaseyi Akanji, Adewale Opeoluwa Ogunde (2010). PIFA: Designing a Personalized Information Filtering Algorithm for Knowledge Management Systems. Annals. Computer Science Series, 8(2), 145-159. https://europub.co.uk/articles/-A-139865