Author:
Peska Ladislav,Vojtas Peter
Publisher
Springer Berlin Heidelberg
Reference13 articles.
1. Adomavicius, G., Tuzhilin, A.: Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Trans. Knowl. Data Eng. 17, 734–749 (2005)
2. Bizer, C., Cyganiak, R., Auer, S., Kobilarov, G.: DBpedia.org - Querying Wikipedia like a Database. In: WWW 2007, Banff, Canada (May 2007)
3. Bizer, C., Heath, T., Berners-Lee, T.: Linked Data - The Story So Far. Int. J. Semantic Web Inf. Syst. 5, 1–22 (2009)
4. Di Noia, T., Mirizzi, R., Ostuni, V.C., Romito, D., Zanker, M.: Linked open data to support content-based recommender systems. In: Proc. of I-SEMANTICS 2012, pp. 1–8. ACM (2012)
5. Eckhardt, A.: Similarity of users (content-based) preference models for Collaborative filtering in few ratings scenário. Expert Syst. Appl. 39, 11511–11516 (2012)
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