NotesFAQContact Us
Collection
Advanced
Search Tips
Peer reviewed Peer reviewed
ERIC Number: EJ626760
Record Type: Journal
Publication Date: 2001
Pages: N/A
Abstractor: N/A
ISBN: N/A
ISSN: ISSN-3318-3324
EISSN: N/A
The Effect of Pool Depth on System Evaluation in TREAC.
Keenan, Sabrina; Smeaton, Alan F.; Keogh, Gary
Journal of the American Society for Information Science and Technology, v52 n7 p570-74 May 2001
Develops a mathematical model for fitting the retrieval runs in the TREC-6 (Sixth Text REtrieval Conference) ad hoc retrieval exercise to explore how the depth of the pool of relevance judgments made for each run affects performance scores. Concurs that even on the basis of analyses of individual systems, the pool depth of 100 used by TREC is adequate. (AEF)
Descriptors: Document Delivery, Information Retrieval, Information Seeking, Information Systems, Models, Relevance (Information Retrieval), Search Strategies
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A