Abstract | ||
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In this paper a new modelling for a weighted Information Retrieval System (IRS) in a linguistic context is proposed. This linguistic IRS (LIRS) achieves more precise and consistent relevance degrees that early weighted IRSs proposed (8, 9). To do this, a new redefinition of matching function defined in (11) is used. |
Year | Venue | Keywords |
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2005 | EUSFLAT Conf. | linguistic modelling,fuzzy information retrieval,weighted queries. |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
16 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Enrique Herrera-Viedma | 1 | 13105 | 642.24 |
Antonio Gabriel López-herrera | 2 | 423 | 18.65 |
Carlos Porcel | 3 | 450 | 24.12 |