Tommaso Di Noia
Roberto Mirizzi
ABSTRACT
The availability of a huge amount of interconnected data in the so called Web of Data (WoD) paves the way to a new generation of applications able to exploit the information encoded in it. In this paper we present a model-based recommender system leveraging the datasets publicly available in the Linked Open Data (LOD) cloud as DBpedia and LinkedMDB. The proposed approach adapts support vector machine (SVM) to deal with RDF triples. We tested our system and showed its effectiveness by a comparison with different recommender systems techniques -- both content-based and collaborative filtering ones.
- S. Auer et al. Dbpedia: a nucleus for a web of open data. In Proc. of 6th ISWC and 2nd ASWC, ISWC'07/ASWC'07, pages 722--735, 2007. Google Scholar
Digital Library
- T. Heath and C. Bizer. Linked Data: Evolving the Web into a Global Data Space. Synthesis Lectures on the Semantic Web. Morgan & Claypool Publishers, 2011. Google ScholarDigital Library
- B. Heitmann and C. Hayes. Using linked data to build open, collaborative recommender systems. In AAAI Spring Symposium: Linked Data Meets AI, 2010.Google Scholar
- T. Joachims. Text categorization with support vector machines: learning with many relevant features. In Proc. of 10th ECML-98, pages 137--142, 1998. Google ScholarDigital Library
- J. Lees-Miller, F. Anderson, B. Hoehn, and R. Greiner. Does wikipedia information help netflix predictions? In Proc. of the 7th Int. Conf. on Machine Learning and Applications, ICMLA '08, pages 337--343, 2008. Google ScholarDigital Library
- P. Lops, M. Gemmis, and G. Semeraro. Content-based recommender systems: State of the art and trends. In Recommender Systems Handbook, pages 73--105. 2011.Google ScholarCross Ref
- P. Melville and V. Sindhwani. Recommender systems. In Encyclopedia of Machine Learning, pages 829--838. 2010.Google Scholar
- S. E. Middleton, D. D. Roure, and N. R. Shadbolt. Ontology-based recommender systems. Handbook on Ontologies, 32(6):779--796, 2009.Google Scholar
- A. Passant. dbrec: music recommendations using dbpedia. In Proc. of 9th Int. Sem. Web Conf., ISWC'10, pages 209--224, 2010. Google ScholarDigital Library
- F. Ricci, L. Rokach, B. Shapira, and P. B. Kantor, editors. Recommender Systems Handbook. Springer, 2011. Google ScholarCross Ref
- S. Sen, J. Vig, and J. Riedl. Tagommenders: connecting users to items through tags. In Proc. of 18th WWW, WWW '09, pages 671--680, 2009. Google ScholarDigital Library
- X. Su and T. M. Khoshgoftaar. A survey of collaborative filtering techniques. Adv. in Artif. Intell., 2009, 2009. Google ScholarDigital Library
- P. Symeonidis, A. Nanopoulos, and Y. Manolopoulos. Moviexplain: a recommender system with explanations. In Proc. of the 3rd ACM Conf. on RSs, pages 317--320, 2009. Google ScholarDigital Library
- V. N. Vapnik. The nature of statistical learning theory. Springer, New York, 1995. Google ScholarCross Ref
Index Terms
- Exploiting the web of data in model-based recommender systems
Recommendations
Linked open data to support content-based recommender systems
I-SEMANTICS '12: Proceedings of the 8th International Conference on Semantic SystemsThe 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 ...
Exploiting Linked Open Data in Cold-start Recommendations with Positive-only Feedback
CERI '16: Proceedings of the 4th Spanish Conference on Information RetrievalIn recommender systems, user preferences can be acquired either explicitly by means of ratings, or implicitly --e.g., by processing text reviews, and by mining item browsing and purchasing records. Most existing collaborative filtering approaches have ...
Exploring the Geospatial Semantic Web with DBpedia Mobile
The Geospatial Semantic Web makes locations first-class citizens of the Web by representing them as original Web resources. This allows locations to be described in an open and distributed manner using the Resource Description Framework and provides for ...
Comments