EAN: 9783031011894

SYNTHESIS LECTURES ON INFORMATION CONCEPTS RETR...

Information Retrieval performance measures are usually retrospective in nature  representing
the effectiveness of an experimental process. However  in the sciences  phenomena may be
predicted  given parameter values of the system. After developing a measure that can be applied
retrospectively or can be predicted  performance of a system using a single term can be
predicted given several different types of probabilistic distributions. Information Retrieval
performance can be predicted with multiple terms  where statistical dependence between terms
exists and is understood. These predictive models may be applied to realistic problems  and
then the results may be used to validate the accuracy of the methods used. The application of
metadata or index labels can be used to determine whether or not these features should be used
in particular cases. Linguistic information  such as part-of-speech tag information  can
increase the discrimination value of existing terminology and can be studied predictively. This
work provides methods for measuring performance that may be used predictively. Means of
predicting these performance measures are provided  both for the simple case of a single term
in the query and for multiple terms. Methods of applying these formulae are also suggested.

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