Abstract
Preceding chapters, particularly Chapter 3 and Chapter 7, have presented methods and techniques based on Web 2.0 information structures that are, among other things, able to address specific issues of decentralized recommender systems.Moreover, Chapter 8 has shown that, to a certain extent, trust implies similarity and thus becomes eligible as a tool for CF neighborhood formation, which is generally performed by applying some rating-based or attribute-based similarity measure (see Section 2.3.2).
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© 2013 Springer International Publishing Switzerland
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Ziegler, CN. (2013). Decentralized Recommender Systems. 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_9
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DOI: https://doi.org/10.1007/978-3-319-00527-0_9
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-00526-3
Online ISBN: 978-3-319-00527-0
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