1. Recall Measure - is a simple quantitative ratio of relevant documents retrieved to the total number of relevant documents potentially available. Recall depends on the level of exhaustivity allowed by the indexing policy.
Example:
If there are 100 relevant documents in the library that are relevant to the user's needs and the indexing system retrieves 75, then the recall ratio is 75 out of 100 (75/100). Recall for this search is 75 percent effective.
2. Precision Measure - is the ration of relevant documents retrieved to the total number of documents retrieved. Relevance or precision depends on the terminology of the text being indexed and the specificity of the indexing language used.
Example:
If 100 documents are retrieved and 50 of those items are relevant to the request, the precision ratio is 50 to 100 (50/100). Precision for this search is 50 percent effective.
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