Ranked Retrieval Evaluation - Rank Based Measures - Binary relevance

Binary relevance -->  we are only worried if it is relevant or not 

Precision@K (P@K) -- only top documents ie compute  % relevant documents are picked in K

Practical Example : Practical Example

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Mean Average Precision (MAP): 

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Mean Reciprocal Rank (MRR)

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Unranked Retrieval Evaluation- Precision and Recall based on documents and F-Measure

Unranked Retrival Information

important measures are 

Precision:The ability to retrieve top-ranked documents that are mostly relevant. 

Recall:The ability of the search to find all of the  relevant items in the corpus.

F-measure : 

1.Takes into  account both recall and precision.

2. Harmonic mean of recall and precision

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