Name
Abstract | ||
|---|---|---|
In our participation in the ImageCLEF 2009 Photo Retrieval task we pursued two objectives: Firstly, to re-evaluate MultiModal Local Context Analysis (MMLCA), our multimodal fusion technique. Secondly, to evaluate a new subquery generation technique based on clustering. From the experiments conducted: Firstly, we confirmed MMLCA performs better for generic domain collections than the other local expansion techniques evaluated. Secondly, our proposal of subquery generation based on clustering, obtained good results (5th best textual run of the Photo Retrieval task). Besides these results in this paper we try to reflect on the extent to which reordering techniques are appropriate to promote diversity. Results suggest that while reordering strategies limit the margin of improvement due to their use of a limited number of documents, the use of approaches based on subqueries generation can overcome this limitation. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-15751-6_12 | CLEF (2) |
Keywords | Field | DocType |
new subquery generation technique,multimodal local context analysis,reordering technique,reordering strategy,subqueries generation,best textual run,local expansion technique,subquery generation,reordering top-ranked document,multimodal fusion technique,photo retrieval task,diversity promotion | Data mining,Relevance feedback,Information retrieval,Ranking,Query expansion,Computer science,Context analysis,Cluster analysis | Conference |
Volume | ISSN | ISBN |
6242 | 0302-9743 | 3-642-15750-5 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sergio Navarro | 1 | 43 | 5.97 |
| Rafael Muñoz | 2 | 326 | 44.91 |
| Fernando Llopis | 3 | 32 | 6.37 |