Name: Reciprocal Recommender Systems
SKU: 64765726
Price: 1890.00 TWD
Availability: InStock
Author: James Neve

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Type

Physical Book

Publisher

Springer International Publishing AG

Author

James Neve

Collection

SpringerBriefs in Computer Science

Year

2025

Pages

107

Format

Paperback

Dimensions

23.5x15.5 cm

ISBN13

9783031851025

Reciprocal Recommender Systems

James Neve (Author) · Springer International Publishing AG · Paperback

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Synopsis "Reciprocal Recommender Systems"

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.