Nefti-Meziani, S, Oussalah, M and Khan, S 2008, 'Personalized information retrieval system in the framework of fuzzy logic' , Expert Systems with Applications, 35 (1-2) , p. 423.
Full text not available from this repository. (Request a copy)Abstract
Due to increase in web-based applications, the need for enhanced information retrieval system that accommodate user’s needs become crucial. A wide range of commercial information retrieval systems are based on standard Boolean model and at less scale vector models. Although the deficiencies of these models are now part of text-book knowledge, the development of new models still have to overcome the feasibility and testing challenge. This paper advocates a fuzzy based approach for information retrieval where a new model is put forward. Also, its feasibility and performance are demonstrated through a testing with a large-scale university database and whose results are compared to a standard commercial Boolean model.
| Item Type: | Article |
|---|---|
| Themes: | Subjects / Themes > Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science Subjects / Themes > Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources Subjects / Themes > Q Science > QA Mathematics > QA075 Electronic computers. Computer science Subjects outside of the University Themes |
| Schools: | Schools > School of Computing, Science and Engineering Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre |
| Journal or Publication Title: | Expert Systems with Applications |
| Publisher: | Elsevier |
| Refereed: | Yes |
| ISSN: | 09574174 |
| Depositing User: | H Kenna |
| Date Deposited: | 08 Jan 2009 10:52 |
| Last Modified: | 27 Aug 2021 19:48 |
| URI: | https://usir.salford.ac.uk/id/eprint/953 |
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