Inferring document relevance via average precision

Proceedings of the Twenty-Ninth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

Volumn 2006, Issue , 2006, Pages 601-602

  Aslam, Javed A ^a   Yilmaz, Emine ^a  

^a Northeastern University   (United States)

Author keywords

Average precision; Relevance judgments

Indexed keywords

DATA REDUCTION; INFORMATION ANALYSIS; INFORMATION RETRIEVAL; PROBLEM SOLVING; RANDOM PROCESSES; PRECISION ENGINEERING;

AVERAGE PRECISION; DOCUMENT RELEVANCE; RANDOM SAMPLING; RELEVANCE JUDGMENTS;

INFORMATION RETRIEVAL SYSTEMS;

AVERAGE PRECISION; JUDGED DOCUMENTS; RELEVANCE JUDGMENTS;

EID: 33750319220     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1148170.1148275     Document Type: Conference Paper

References (2)

1. J. A. Aslam, V. Pavlu, and E. Yilmaz. A statistical method for system evaluation using incomplete judgments. In Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, August 2006. To appear.
2. J. A. Aslam, E. Yilmaz, and V. Pavlu. The maximum entropy method for analyzing retrieval measures. In Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 27-34. ACM Press, August 2005.