Less is more: probabilistic models for retrieving fewer relevant documents
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Using Information Gain to Improve the ImageCLEF 2006 Collection
Evaluation of Multilingual and Multi-modal Information Retrieval
Integrating MeSH Ontology to Improve Medical Information Retrieval
Advances in Multilingual and Multimodal Information Retrieval
Query expansion on medical image retrieval: MeSH vs. UMLS
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Hi-index | 0.00 |
This papers describes the participation of the SINAI research group in the medical and photo retrieval ImageCLEF tasks. The approach for medical retrieval continues our usage of the MeSH ontology for query expansion, but comparing it to term expansion within the documents in the collection. Regarding the photo retrieval task, diversity of top results has been pursued by applying a clustering algorithm. For both tasks, results and dicussion are included. In general, no relevant findings were obtained with the novel approaches applied.