The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Linked open data to support content-based recommender systems
Open accessAbstract
The World Wide Web is moving from a Web of hyper-linked Documents to a Web of linked Data. Thanks to the Semantic Web spread and to the more recent Linked Open Data (LOD) initiative, a vast amount of RDF data have been published in freely accessible datasets. These datasets are connected with each other to form the so called Linked Open Data cloud. As of today, there are tons of RDF data available in the Web of Data, but only few applications really exploit their potential power. In this paper we show how these data can successfully be used to develop a recommender system (RS) that relies exclusively on the information encoded in the Web of Data. We implemented a content-based RS that leverages the data available within Linked Open Data datasets (in particular DBpedia, Freebase and LinkedMDB) in order to recommend movies to the end users. We extensively evaluated the approach and validated the effectiveness of the algorithms by experimentally measuring their accuracy with precision and recall metrics.
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Cites
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Introduction to Information Retrieval
Manning, C. D., Raghavan, P., & Schütze, H. (2008) · doi:10.1017/cbo9780511809071 · Cited by 11,288
Adomavicius, G., & Tuzhilin, A. (2005) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2005.99 · Cited by 10,310
A vector space model for automatic indexing
Salton, G., Wong, A., & Yang, C. S. (1975) · Communications of the ACM · doi:10.1145/361219.361220 · Cited by 7,521
Freebase: a collaboratively created graph database for structuring human knowledge
Bollacker, K., Evans, C., Paritosh, P., Sturge, T., & Taylor, J. (2008) · Proceedings of the 2008 ACM SIGMOD international conference on Management of data · doi:10.1145/1376616.1376746 · Cited by 4,852
Linked Data - The Story So Far
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DBpedia - A crystallization point for the Web of Data
Bizer, C., Lehmann, J., Kobilarov, G., Auer, S., Becker, C., Cyganiak, R., & Hellmann, S. (2009) · Journal of Web Semantics · doi:10.1016/j.websem.2009.07.002 · Cited by 2,137
Cited by
A Survey of Recommendation Systems: Recommendation Models, Techniques, and Application Fields
Ko, H., Lee, S., Park, Y., & Choi, A. (2022) · Electronics · doi:10.3390/electronics11010141 · Cited by 658
Ismail, H., Hussein, N., Harous, S., & Khalil, A. (2023) · Education Sciences · doi:10.3390/educsci13070741 · Cited by 35
El Guabassi, I., Bousalem, Z., Marah, R., & Qazdar, A. (2021) · International Journal of Online and Biomedical Engineering (iJOE) · doi:10.3991/ijoe.v17i02.20049 · Cited by 32
Metadata
- Authors
- Di Noia, T., Mirizzi, R., Ostuni, V. C., Romito, D., & Zanker, M.
- Venue
- Proceedings of the 8th International Conference on Semantic Systems
- Publisher
- ACM
- Published
- 2012-09-05
- Pages
- 1-8
- OpenAlex
- W1985658893
- Cited by
- 276
- References
- 21
- FWCI
- 15.41
- Type
- conference paper
- Language
- en
- Open access
- green
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- Di Noia, T., Mirizzi, R., Ostuni, V. C., Romito, D., & Zanker, M. (2012). Linked open data to support content-based recommender systems. Proceedings of the 8th International Conference on Semantic Systems. https://doi.org/10.1145/2362499.2362501
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
