Reciprocal Recommender Systems Book

A book written by the company's founder James Neve has been published by Springer-Nature. The book is called Reciprocal Recommender Systems, and is based on research done by the author and by others in this field.

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.

The book is available on Amazon.