This document describes a proposed web service recommender system that uses location and quality of service (QoS) information to cluster users and services and make personalized recommendations to help users select services that have optimal performance. The proposed system is evaluated using over 1.5 million QoS records from real-world web services and achieves better recommendation accuracy than existing methods. It also provides hardware and software requirements for system configuration.