Evaluating sampling methods for uncooperative collections

Date

Authors

Thomas, Paul

Hawking, David

Publisher

Association for Computing Machinery Inc (ACM)

Abstract

Many server selection methods suitable for distributed information retrieval applications rely, in the absence of cooperation, on the availability of unbiased samples of documents from the constituent collections. We describe a number of sampling methods

Keywords

Keywords: Parameter estimation; Query processing; Search engines; Servers; Web services; Distributed information retrieval; Metasearch application; Random sampling; Uncooperative collections; Information retrieval Distributed information retrieval; Random sampling

URI

http://hdl.handle.net/1885/36567

Collections

ANU Research Publications

Source

Proceedings of 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

Type

Conference paper

DOI

10.1145/1277741.1277828

Restricted until

2037-12-31

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File

Description

01_Thomas_Evaluating_sampling_methods_2007.pdf (335.57 KB)