Abstract
Part II has discussed making use of taxonomies for improving recommender systems, in particular with regard to the quality of recommendations. Part III will now shift the focus from taxonomies to interpersonal trust, which abundantly manifests via the rife social networks and platforms on the Web 2.0. In contrast to taxonomies, trust is a means to address the scalability and cold-start problem of recommenders.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2013 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Ziegler, CN. (2013). Trust Propagation Models. 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_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-00527-0_7
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-00526-3
Online ISBN: 978-3-319-00527-0
eBook Packages: EngineeringEngineering (R0)