TY - GEN
T1 - Using multiple uery aspects to build test collections without human relevance udgments
AU - Efron, Miles
PY - 2009
Y1 - 2009
N2 - Collecting relevance judgments (qrels) is an especially challenging part of building an information retrieval test collection. This paper presents a novel method for creating test collections by offering a substitute for relevance judgments. Our method is based on an old idea in IR: a single information need can be represented by many query articulations. We call different articulations of a particular need query aspects. By combining the top k documents retrieved by a single system for multiple query aspects, we build judgment-free qrels whose rank ordering of IR systems correlates highly with rankings based on human relevance judgments.
AB - Collecting relevance judgments (qrels) is an especially challenging part of building an information retrieval test collection. This paper presents a novel method for creating test collections by offering a substitute for relevance judgments. Our method is based on an old idea in IR: a single information need can be represented by many query articulations. We call different articulations of a particular need query aspects. By combining the top k documents retrieved by a single system for multiple query aspects, we build judgment-free qrels whose rank ordering of IR systems correlates highly with rankings based on human relevance judgments.
UR - http://www.scopus.com/inward/record.url?scp=67650705964&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=67650705964&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-00958-7_28
DO - 10.1007/978-3-642-00958-7_28
M3 - Conference contribution
AN - SCOPUS:67650705964
SN - 3642009573
SN - 9783642009570
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 301
EP - 312
BT - Advances in Information Retrieval - 31th European Conference on IR Research, ECIR 2009, Proceedings
T2 - 31th European Conference on Information Retrieval, ECIR 2009
Y2 - 6 April 2009 through 9 April 2009
ER -