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Related Questions
- How do NDCG and MRR account for partial relevance in ranking, and what are the implications for information retrieval systems?
- Can you explain the differences in how NDCG and MRR handle partial relevance, and provide examples to illustrate these differences?
- How do NDCG and MRR handle cases where the relevance of a document is not binary, but rather a continuous value between 0 and 1?
- What are the advantages and disadvantages of using NDCG and MRR for evaluating ranking algorithms that handle partial relevance?
- How do NDCG and MRR perform in scenarios where the relevance of a document is not known or is missing, and how can this be addressed?
- Can you discuss the relationship between NDCG and MRR and other evaluation metrics, such as precision and recall, in the context of partial relevance?
- How do NDCG and MRR handle ranking algorithms that use multiple relevance signals, and how can this be evaluated effectively?
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