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Reciprocal rank fusion outperforms condorcet and individual rank learning methods

G. Cormack,C. Clarke,Stefan Büttcher

2009 · DOI: 10.1145/1571941.1572114
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval · 673 Citations

TLDR

Reciprocal Rank Fusion is demonstrated by using RRF to combine the results of several TREC experiments, and to build a meta-learner that ranks the LETOR 3 dataset better than any previously reported method.