Abstract: A selective retrieval metasearch engine uses relevance estimation and confidence computation to select documents for which additional information is to be obtained. The additional information is used to update relevance estimation for the selected documents. A selective retrieval metasearch engine improves execution time, resource usage, throughput, and/or result quality.