Usage-based Object Similarity

  title={Usage-based Object Similarity},
  author={Katja Niemann and Maren Scheffel and Martin Friedrich and Uwe Kirschenmann and Hans-Christian Schmitz and Martin Wolpers},
  journal={J. UCS},
Recommender systems are widely used online to support users in finding relevant information. They can be based on different techniques such as content-based and collaborative filtering. In this paper, we introduce a new way of similarity calculation for item-based collaborative filtering. Thereby we focus on the usage of an object and not on the object’s users as we claim the hypothesis that similarity of usage indicates content similarity. To prove this hypothesis we use learning objects… CONTINUE READING


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