By Guillaume Thomas Raynal
This Elibron Classics publication is a facsimile reprint of a 1782 variation by means of Jean-Leonard Pellet, Gen?ve.
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Extra resources for Histoire philosophique et politique des etablissements et du commerce des Europeens dans les deux Indes: Tome 9 (French Edition)
Alternatives to bpref. In: Proceedings of ACM SIGIR 2007, pp. 71–78 (2007) 11. : Comparing metrics across TREC and NTCIR: The robustness to pool depth bias. In: Proceedings of ACM SIGIR 2008, pp. 691–692 (2008) 12. : Comparing metrics across TREC and NTCIR: The robustness to system bias. In: Proceedings of ACM CIKM 2008, pp. 581–590 (2008) 13. : Are popular documents more likely to be relevant? a dive into the ACLIA IR4QA pools. In: Proceedings of EVIA 2008, pp. 8–9 (2008) 14. : On information retrieval metrics designed for evaluation with incomplete relevance assessments.
10; min 1) 6,335 Table 2. Statistics of the expanded relevance assessments pool depth #relevant docs #relevant intents/doc #L0 (judged nonrelevant) 40 21,596 across 100 topics (max. 89 (max. 10; min 1) 15,176 Table 3. 3335 INTENT-1, the top 20 documents from every run was included in the pool; in our study, we ﬁrst obtained the top 40 documents from every run, and then removed the aforementioned depth-20 documents6 . Table 2 shows the statistics of the expanded relevance assessments thus obtained.
When a new run is evaluated with a condensed-list metric, many relevant documents go up the ranks as the unjudged documents in the run are removed. The above work of Sakai generalises an earlier ﬁnding by B¨ uttcher et al. who focussed on binary relevance metrics such as Average Precision (AP) and Binary Preference (bpref): “Where AP underestimates the performance of a [new] system, bpref overestimates it” . However, these studies were about traditional IR, where typically pd = 100 and l = 1000.