Reciprocal Recommender Systems
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Reciprocal Recommender Systems

SKU: 9783031851032

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Additional information

Full Title

Reciprocal Recommender Systems
Author(s)

James Neve
Edition
ISBN

9783031851032, 9783031851025
Publisher

Springer
Format

PDF and EPUB

Description

This book provides an introduction to reciprocal recommendation. It starts with theory, and then moves on to concrete examples of the most successful algorithms in the field. Researchers and developers with a little background in machine learning will find many of the algorithms are straightforward to implement, and code samples are included to help with this. In addition to accessible algorithms, the book also examines some more cutting-edge research such as the recent interest in applying matching theory to reciprocal recommendation. These parts will be of interest both to developers who are looking to optimize their systems, and to researchers who might find avenues to further advance the field and develop new methods of recommending people to people. By the end of this book, the reader will have a comprehensive understanding of the state of the art in reciprocal recommendation and will be equipped to design and implement their own systems.

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