Generating semantically enriched user profiles for Web personalization

  title={Generating semantically enriched user profiles for Web personalization},
  author={Sarabjot S. Anand and Patricia Kearney and Mary Shapcott},
  journal={ACM Trans. Internet Techn.},
Traditional collaborative filtering generates recommendations for the active user based solely on ratings of items by other users. However, most businesses today have item ontologies that provide a useful source of content descriptors that can be used to enhance the quality of recommendations generated. In this article, we present a novel approach to integrating user rating vectors with an item ontology to generate recommendations. The approach is novel in measuring similarity between users in… CONTINUE READING
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