Makale detayı · 2008 · conference-paper
A simple and efficient sampling method for estimating AP and NDCG
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Özet
We consider the problem of large scale retrieval evaluation. Recently two methods based on random sampling were proposed as a solution to the extensive effort required to judge tens of thousands of documents. While the first method proposed by Aslam et al. [1] is quite accurate and efficient, it is overly complex, making it difficult to be used by the community, and while the second method proposed by Yilmaz et al., infAP [14], is relatively simple, it is less efficient than the former since it employs uniform random sampling from the set of complete judgments. Further, none of these methods provide confidence intervals on the estimated values.
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Yerel katalogda bu makaleye atıf yapan 16 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).
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- 2013 Crowdsourcing for information retrieval: introduction to the special issueAtıf 44 · OpenAlex
- 2021 Estimation of Fair Ranking Metrics with Incomplete JudgmentsAtıf 41 · OpenAlex
- 2011 Crowdsourcing for search and data miningAtıf 16 · OpenAlex
- 2011 Crowdsourcing for search and data miningAtıf 9 · OpenAlex
- 2015 IR EvaluationAtıf 3 · OpenAlex
- 2025 Beyond Precision and Recall: Measuring Search Engine Consistency Using Rank StabilityAtıf 2 · OpenAlex
- 2011 Quaero at TRECVID 2010: Semantic IndexingAtıf 2 · OpenAlex
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