Predicting Information Retrieval Performance: Synthesis Lectures on Information Concepts, Retrieval, and Services
Autor Robert M. Loseeen Limba Engleză Paperback – 19 dec 2018
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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Specificații
ISBN-13: 9783031011894
ISBN-10: 3031011899
Pagini: 59
Ilustrații: XIX, 59 p.
Dimensiuni: 191 x 235 mm
Greutate: 0.15 kg
Editura: Springer International Publishing
Colecția Springer
Seria Synthesis Lectures on Information Concepts, Retrieval, and Services
Locul publicării:Cham, Switzerland
ISBN-10: 3031011899
Pagini: 59
Ilustrații: XIX, 59 p.
Dimensiuni: 191 x 235 mm
Greutate: 0.15 kg
Editura: Springer International Publishing
Colecția Springer
Seria Synthesis Lectures on Information Concepts, Retrieval, and Services
Locul publicării:Cham, Switzerland
Cuprins
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 .
Notă biografică
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).