Measure-based metasearch Javed A. Aslam, Virgiliu Pavlu, and Emine Yilmaz   View Paper (PDF)   Return to Posters Abstract We propose a simple method for converting many standard measures of retrieval performance into metasearch algorithms. Our focus is both on the analysis of retrieval measures themselves and on the development of new metasearch algorithms. Given the conversion method proposed, our experimental results using TREC data indicate that system-oriented measures of overall retrieval performance (such as average precision) yield good metasearch algorithms whose performance equals or exceeds that of benchmark techniques such as CombMNZ and Condorcet. ©2006 Association for Computing Machinery