James Neve is a machine learning researcher with Eureka Inc. in Tokyo, designing AI systems including Reciprocal Recommender Systems (RRSs) for online dating services. He has a PhD in Machine Learning from the University of Bristol, specialized in RRSs, and he has published multiple papers on reciprocal recommendation in competitive conferences such as ACM RecSys.
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Reciprocal Recommender Systems
James Neve
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...
