A platform for Okapi-based contextual information retrieval
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
A review of ontology based query expansion
Information Processing and Management: an International Journal
Passage extraction and result combination for genomics information retrieval
Journal of Intelligent Information Systems
Genomics information retrieval using a Bayesian model for learning and re-ranking
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology
Expert Systems with Applications: An International Journal
Hi-index | 0.01 |
In this paper, we propose a dual index model for contextual IR. For each query, we search against both document level and passage level indexes, and use the corresponding merge function to update the weights for both documents and paragraphs by combining the results from both indexes according to the granularity information in metadata. Experiments on 2004 TREC data show that a significant improvement can be made by using the dual index model.