Personalised information retrieval in specialised virtual libraries
| Autor: | Jean Marie Pinon, Lobna Jeribi, Béatrice Rumpler |
|---|---|
| Rok vydání: | 2000 |
| Předmět: |
Cognitive models of information retrieval
Information retrieval User profile Multimedia business.industry Computer science Intelligent decision support system Information technology Library and Information Sciences computer.software_genre Intelligent tutoring system World Wide Web Human–computer information retrieval Information system Relevance (information retrieval) business computer |
| Zdroj: | New Library World. 101:21-28 |
| ISSN: | 0307-4803 |
| DOI: | 10.1108/03074800010304370 |
| Popis: | The New Information Technology in Engineering Science Field (NIT‐ESF) project focuses on the virtual library’s contribution to the education and research field. Different teams are involved in this project. The team specialised in information retrieval aims to design an intelligent tutoring system capable of performing personalised information retrieval, depending on users’ interests. The proposed system is specially designed for people who have a sight deficiency. These specific persons use slow devices to access scientific textual information, so they have a critical need for systems able to retrieve relevant information quickly. For these reasons, we need intelligent systems to define and manage particular user interests. We aim to improve answer quality by personalising the retrieval and by performing user profile management. For implementation, we have based the information filtering and extraction on SMART features. Some system results are shown in this paper. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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