Ontology-based Rules for Recommender Systems

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Provided by: RWTH Aachen University
Topic: Hardware
Format: PDF
Now-a-days, smart devices perceive a large amount of information from device sensors, usage, and other sources which contribute to defining the user's context and situations. The main problem is that although the data is available, it is not processed to help the user deal with this information easily. The authors' approach is based on the assumption that, given that this information can be unified in a single personal data space, it can be used to discover and learn rules to provide the user with personal recommendations.
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