Ψηφιακές βιβλιοθήκες
| Main Authors: | Πιτικάρης, Θοδωρής, Νικητάκης, Μιχάλης, Παπαδουράκης, Γιώργος, Τσαγκατάκης, Ιωάννης |
|---|---|
| Format: | Proceeding NonPeerReviewed application/pdf |
| Bahasa: | el |
| Terbitan: |
, 2002
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| Subjects: | |
| Online Access: |
http://eprints.rclis.org/9698/1/11psab023.pdf http://eprints.rclis.org/9698/ |
Daftar Isi:
- 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.