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These researchers run offline evaluations of recommendation algorithms that help people make decisions (e.g., what movie to watch next). Offline evaluations are a first step towards establishing the feasibility of algorithms for evaluation in online field studies. These evaluations run against large datasets, and may take several hours to complete. Parallel computing resources allow the researchers to run many evaluations concurrently.
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