Abstract
The two preceding chapters have demonstrated that classification taxonomies can be put to use in improving recommender systems in terms of the quality of their recommendations. The taxonomy we resorted to for all the empirical evaluations was the one from Amazon.com. Now we want to give an example how Web 2.0 taxonomies, having been crafted by collective efforts of several thousands of volunteering editors, can likewise be used to these ends.
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© 2013 Springer International Publishing Switzerland
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Ziegler, CN. (2013). Taxonomies for Calculating Semantic Proximity. In: Social Web Artifacts for Boosting Recommenders. Studies in Computational Intelligence, vol 487. Springer, Cham. https://doi.org/10.1007/978-3-319-00527-0_5
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DOI: https://doi.org/10.1007/978-3-319-00527-0_5
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-00526-3
Online ISBN: 978-3-319-00527-0
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