Predicting Information Retrieval Performance

AvRobert M. Losee

Häftad, Engelska, 2018

Del i serien Synthesis Lectures on Information Concepts, Retrieval, and Services

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2018-12-19
Mått:191 x 235 x 5 mm
Vikt:169 g
Format:Häftad
Språk:Engelska
Serie:Synthesis Lectures on Information Concepts, Retrieval, and Services
Antal sidor:59
Förlag:Springer International Publishing AG
ISBN:9783031011894
Originaltitel:Predicting Information Retrieval Performance

Utforska kategorier

Hårdvara inom Data och IT

Mer om författaren

Robert Losee has been a professor at the University of North Carolina at Chapel Hills School of Information and Library Science since 1986, after receiving a Ph.D. from the University of Chicago. He has taught courses in Information Retrieval, including an introductory graduate course, and an advanced Artificial Intelligence for Information Retrieval course. He has also taught courses in Information Theory, including a doctoral seminar in the area. His most recent monograph is Information from Processes: About the Nature of Information Creation, Use, and Representation (Springer, 2012).

Innehållsförteckning

Preface.- Acknowledgments.- Information Retrieval: A Predictive Science.- Probabilities and Probabilistic Information Retrieval.- Information Retrieval Performance Measures.- Single-Term Performance.- Performance with Multiple Binary Features.- Applications: Metadata and Linguistic Labels.- Conclusion.- Bibliography.- Author's Biography .