The document presents 'redyal,' a dynamic recommendation algorithm designed to use linked data across various domains while maintaining prediction accuracy. It discusses the algorithm's ability to exploit relationships within the web of data to provide novel recommendations, supported by user study evaluations. Future work involves applying redyal to different datasets and studying its accuracy and novelty in various contexts.
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