Name
Abstract | ||
|---|---|---|
Abstract: Logic provides a rich and uniform framework in which Information Retrieval can be modeled. The ability of logical approaches to give rise to more general Information Retrieval models is promising. However no much experimentation has been carried out about the real impact of logical representations on retrieval performance. This work is an attempt to fill this gap. Our work is based on a recent logical model of Information Retrieval in which some classical representations can be modeled and matched. We did experiments on both the basic retrieval task and the task of retrieval with feedback. The results obtained using expressive representations are encouraging for applying the model in real IR systems. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1109/DEXA.2001.953071 | DEXA Workshop |
Keywords | Field | DocType |
recent logical model,logical representations,retrieval performance,basic retrieval task,real impact,logical approach,classical representation,logical representation,information retrieval,real ir system,general information retrieval model,feedback,calculus,sorting,system modeling,propositional logic,computer science,knowledge representation,formal logic | Cognitive models of information retrieval,Relevance feedback,Question answering,Human–computer information retrieval,Information retrieval,Computer science,Logical data model,Artificial intelligence,Standard Boolean model,Relevance (information retrieval),Natural language processing,Vector space model | Conference |
ISBN | Citations | PageRank |
0-7695-1230-5 | 5 | 0.54 |
References | Authors | |
11 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| David E. Losada | 1 | 326 | 40.63 |
| Alvaro Barreiro | 2 | 226 | 22.42 |