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Today’s business becomes increasingly computational-intense. Grid computing is a powerful paradigm for running ever-larger workloads and services. Commercial users have been attracted by this technology, which can potentially be exploited by industries and SMEs to offer new services with reduced costs and higher performance. This work aims at presenting a “gridified” implementation of a Recommender System based on the classic Collaborative Filtering algorithm. It also introduces the core services of the gLite middleware and discusses the potential benefits of using Grids to support the development of such systems.

USING GRIDS TO SUPPORT INFORMATION FILTERING SYSTEMS - A Case Study of Running Collaborative Filtering Recommendations on gLite