Relevation!: An open source system for information retrieval relevance assessment

SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval

Volumn , Issue , 2014, Pages 1243-1244

  Koopman, Bevan ^a   Zuccon, Guido ^b  

^a CSIRO   (Australia)

^b QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

Experimentation; Measurement

Indexed keywords

INFORMATION RETRIEVAL; MEASUREMENTS; RESEARCH;

EXPERIMENTATION; OPEN SOURCE PROJECTS; OPEN SOURCE SYSTEM; QUALITATIVE DATA; RELEVANCE ASSESSMENTS; RELEVANCE JUDGEMENT;

OPEN SYSTEMS;

EID: 84904581124     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2600428.2611175     Document Type: Conference Paper

References (4)

1. Bevan Koopman. Semantic Search as Inference: Applications in Health Informatics. PhD thesis, QUT, 2014.
2. L. Goeuriot et al. ShARe/CLEF eHealth Evaluation Lab 2013, Task 3: Information retrieval to address patients' questions when reading clinical reports. In CLEF, 2013.
3. D. Hawking, N. Craswell, P. Bailey, and K. Griffihs. Measuring search engine quality. Inf. Ret., 4(1):33-59, 2001.
4. D. Lewandowski and S. Sünkler. Designing search engine retrieval effectiveness tests with RAT. Information Services and Use, 33(1):53-59, 2013.