| Revue: | Computación y sistemas |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000379434 |
| ISSN: | 1405-5546 |
| Autores: | Mbarek, Rabeb1 Tmar, Mohamed1 Hattab, Hawete2 |
| Instituciones: | 1University of Sfax, High Institute of Computer Science and Multimedia, Sfax. Túnez 2Umm Al-Qura University, La Meca. Arabia Saudita |
| Año: | 2014 |
| Periodo: | Jul-Sep |
| Volumen: | 18 |
| Número: | 3 |
| Paginación: | 569-579 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Analítico, descriptivo |
| Resumen en inglés | The Vector Space Basis Change (VSBC) is an algebraic operator responsible for change of basis and it is parameterized by a transition matrix. If we change the vector space basis, then each vector component changes depending on this matrix. The strategy of VSBC has been shown to be effective in separating relevant documents and irrelevant ones. Recently, using this strategy, some feedback algorithms have been developed. To build a transition matrix some optimization methods have been used. In this paper, we propose to use a simple, convenient and direct method to build a transition matrix. Based on this method we develop a relevance feedback algorithm. Experimental results on a TREC collection show that our proposed method is effective and generally superior to known VSBC-based models. We also show that our proposed method gives a statistically significant improvement over these models |
| Disciplinas: | Ciencias de la computación, Literatura y lingüística |
| Palabras clave: | Inteligencia artificial, Lingüística aplicada, Minería de datos, Modelo espacial de vectores, Recuperación de información, Operadores algebraicos |
| Keyword: | Computer science, Literature and linguistics, Artificial intelligence, Applied linguistics, Data mining, Vector space model, Information retrieval, Algebraic operators |
| Texte intégral: | Texto completo (Ver HTML) |
