Knowledgeable Explanations for Recommender Systems

  title={Knowledgeable Explanations for Recommender Systems},
  author={Markus Zanker and Daniel Ninaus},
  journal={2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology},
Recommender Systems (RS) serve online customers in identifying those items from a variety of choices that best match their needs and preferences. In this context explanations summarize the reasons why a specific item is proposed and strongly increase the users' trust in the system's results. In this paper we propose a framework for generating knowledgeable explanations that exploits domain knowledge to transparently argue why a recommended item matches the user's preferences. Furthermore… CONTINUE READING
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