Name
Abstract | ||
|---|---|---|
Based on the idea that the closer the query terms in a document are, the more relevant this document is, we propose a mathematical model of information retrieval based on a fuzzy proximity degree of term occurences. 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. With conjunctive queries, setting this parameter to low values requires a proximity at the phrase level and with high values, the required proximity can continuously be relaxed to the sentence or paragraph levels. We conducted some experiments and present the results. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1145/1066677.1066912 | SAC |
Keywords | Field | DocType |
proximity operator,basic boolean information retrieval,information retrieval,proximity degree,information retrieval model,single parameter,mathematical model,term occurences,conjunctive query,required proximity,boolean query,fuzzy proximity degree,fuzzy set theory,conjunctive queries,proximity | Conjunctive query,Information retrieval,Computer science,Fuzzy logic,Phrase,Fuzzy set,Paragraph,Operator (computer programming),Proximity search,Sentence | Conference |
ISBN | Citations | PageRank |
1-58113-964-0 | 18 | 1.08 |
References | Authors | |
7 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michel Beigbeder | 1 | 72 | 23.49 |
| Annabelle Mercier | 2 | 41 | 8.72 |