Recommender systems for the web

J. Ben Schafer, Joseph A Konstan, John T. Riedl

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations

Abstract

Recommender systems already provide substantial user value by personalizing a number of sites on the Web. The Semantic Web brings forward rich opportunities for improving these interfaces, and for striking a better balance between content and collaborative personalization methods.

Original languageEnglish (US)
Title of host publicationVisualizing the Semantic Web
Subtitle of host publicationXML-Based Internet and Information Visualization
PublisherSpringer London
Pages102-123
Number of pages22
ISBN (Print)1852339764, 9781852339760
DOIs
StatePublished - Dec 1 2006

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    Schafer, J. B., Konstan, J. A., & Riedl, J. T. (2006). Recommender systems for the web. In Visualizing the Semantic Web: XML-Based Internet and Information Visualization (pp. 102-123). Springer London. https://doi.org/10.1007/1-84628-290-X_6