Loading...
Please wait, while we are loading the content...
Similar Documents
General terms (2005).
| Content Provider | CiteSeerX |
|---|---|
| Author | Imafouo, Amelie Beigbeder, Michel Mercier, Annabelle |
| Abstract | Based on the idea that the closer the query terms in a document are, the more relevant this document is, we propose a information retrieval method based on a fuzzy proximity degree of term occurences to compute document relevance to a query. Our model is able to deal with Boolean queries, but contrary to the traditional extensions of the basic Boolean information retrieval model, it does not explicitly use a proximity operator. A single parameter allows to control the proximity degree required. We explain how we construct the queries and we report the results of the experiments of the CLEF 2005 campaign before the conclusion. |
| File Format | |
| Publisher Date | 2005-01-01 |
| Access Restriction | Open |
| Subject Keyword | Query Term General Term Information Retrieval Method Single Parameter Boolean Query Basic Boolean Information Retrieval Model Proximity Degree Document Relevance Traditional Extension Proximity Operator Fuzzy Proximity Degree Term Occurences |
| Content Type | Text |
