Name
Abstract | ||
|---|---|---|
Relevance feedback is an appreciated process to produce increasingly better retrieval. Usually, positive feedback plays a fundamental role in the feedback process whereas the role of negative feedback is limited. We think that negative feedback is a promising precision oriented mechanism and we propose a logical framework in which positive and negative feedback are homogeneously modeled. Evaluation results against small test collections are provided. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1145/383952.384067 | SIGIR |
Keywords | Field | DocType |
small test collection,promising precision,fundamental role,positive feedback,feedback process,evaluation result,negative feedback,homogeneous framework,logical framework,better retrieval,relevance feedback,model relevance feedback,summarization | Automatic summarization,Relevance feedback,Information retrieval,Homogeneous,Computer science,Negative feedback,Positive feedback,Logical framework | Conference |
ISBN | Citations | PageRank |
1-58113-331-6 | 2 | 0.40 |
References | Authors | |
6 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| David E. Losada | 1 | 326 | 40.63 |
| Alvaro Barreiro | 2 | 226 | 22.42 |