Glossary
- RSs:
-
Recommender Systems
- LOD:
-
Linked Open Data
- Semantic Web:
-
Web of linked data
- RDF:
-
Resource Description Framework
- SPARQL:
-
Query language for the Semantic Web
- SPrank:
-
Semantic Path-based ranking algorithm for recommendation
Definition
The Linked Open Data initiative (Bizer et al. 2009) has allowed the publication of a vast amount of data in the Semantic Web. Concurrently, growing massive amount of information on the web has led us in the Information Overload era, where the enormous amount of information and choices undermines the user experience. Recommender Systems help users to find what is relevant for them in a vast range of possibilities. Recommender Systems can benefit from the use of knowledge encoded in the Linked Open Data to provide better recommendations.
Introduction
In the last years, we assisted to the shift of the Web from a distributed collection of hyper-linked...
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Di Noia, T., Tomeo, P. (2017). Recommender Systems Based on Linked Open Data. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7163-9_110165-1
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DOI: https://doi.org/10.1007/978-1-4614-7163-9_110165-1
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