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Merge pull request SeaseLtd#83 from binarymax/expected-reciprocal-rank
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Expected Reciprocal Rank metric
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agazzarini authored Apr 9, 2019
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Expand Up @@ -36,6 +36,7 @@ The metrics that are part of the current RRE release are:
* **Precision at 3**: same as above but it consider the first three results.
* **Precision at 10**: this metric measures the number of relevant results in the top 10 search results.
* **Reciprocal Rank**: it is the multiplicative inverse of the rank of the first "correct" answer: 1 for first place, 1/2 for second place, 1/3 for third and so on.
* **Expected Reciprocal Rank (ERR)** An extention of Reciprocal Rank with graded relevance, measures the expected reciprocal length of time that the user will take to find a relevant document.
* **Average Precision**: the area under the precision-recall curve.
* **NDCG at 10**: Normalized Discounted Cumulative Gain at 10; see: https://en.wikipedia.org/w/index.php?title=Discounted_cumulative_gain&section=4#Normalized_DCG
* **F-Measure**: it measures the effectiveness of retrieval with respect to a user who attaches β times as much importance to recall as precision. RRE provides the three most popular F-Measure instances: F0.5, F1 and F2
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