Autor: |
Πιτικάρης, Θοδωρής, Νικητάκης, Μιχάλης, Παπαδουράκης, Γιώργος, Τσαγκατάκης, Ιωάννης |
Jazyk: |
angličtina |
Rok vydání: |
2002 |
Předmět: |
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Zdroj: |
Πιτικάρης, Θοδωρής and Νικητάκης, Μιχάλης and Παπαδουράκης, Γιώργος and Τσαγκατάκης, Ιωάννης Ψηφιακές βιβλιοθήκες., 2002 . In 11ο Πανελλήνιο Συνέδριο Ακαδημαϊκών Βιβλιοθηκών, Λάρισα (GR), 2002. [Conference paper] |
Druh dokumentu: |
Conference paper |
Popis: |
With the enormous increase in recent years in the number of text databases available on-line, and the consequent need for better techniques to access this information, there has been a strong resurgence of interest in the research done in the area of information retrieval (IR). Evolving from neuro-biological insights, neural network technology gives a computer system an amazing capacity to actually learn from input data. Artificial neural networks have provided solutions to problems normally requiring human observation and thought processes. Relevance feedback is a process where users identify relevant documents in an initial list of retrieved documents, and the system then creates a new query based on those sample relevant documents. |
Databáze: |
E-LIS (Eprints in Library & Information Science) |
Externí odkaz: |
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