A hybrid multi-strategy recommender system using Linked Open Data

Communications in Computer and Information Science

Volumn 475, Issue , 2014, Pages 150-156

  Ristoski, Petar ^a   Mencía, Eneldo Loza ^b   Paulheim, Heiko ^a  

^a UNIVERSITY OF MANNHEIM   (Germany)

^b DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

Hybrid recommender systems; Linked Open Data; Stacking

Indexed keywords

SEMANTIC WEB;

HYBRID RECOMMENDER SYSTEMS; LINKED OPEN DATUM; RANK AGGREGATION; STACKING;

RECOMMENDER SYSTEMS;

EID: 84908503240     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-319-12024-9_19     Document Type: Article

References (11)

1. Di Noia, T., Mirizzi, R., Ostuni, V.C., Romito, D.: Exploiting the web of data in model-based recommender systems. In: Proceedings of the Sixth ACM Conference on Recommender Systems, RecSys’12, pp. 253-256, ACM. New York (2012)
2. Di Noia, T., Mirizzi, R., Ostuni, V.C., Romito, D., Zanker, M.: Linked open data to support content-based recommender systems. In: Proceedings of the 8th International Conference on Semantic Systems, I-SEMANTICS’12, pp. 1-8. ACM, New York (2012)
3. Heitmann, B., Hayes, C.: Using linked data to build open, collaborative recommender systems. In: AAAI Spring Symposium: Linked Data Meets Artificial Intelligence (2010)
4. Kong, X., Yu, P.S.: An ensemble-based approach to fast classification of multi-label data streams. In: CollaborateCom, pp. 95-104 (2011)
5. Mihelčić, M., Antulov-Fantulin, N., BoŠnjak, M., Šmuc, T.: Extending rapidminer with recommender systems algorithms. In: RapidMiner Community Meeting and Conference (RCOMM 2012) (2012)
6. Ostuni, V.C., Di Noia, T., Mirizzi, R., Di Sciascio, E.: Top-n recommendations from implicit feedback leveraging linked open data. In: IIR, pp. 20-27 (2014)
7. Passant, A.: Dbrec — music recommendations using DBpedia. In: Patel-Schneider, P.F., Pan, Y., Hitzler, P., Mika, P., Zhang, L., Pan, J.Z., Horrocks, I., Glimm, B. (eds.) ISWC 2010, Part II. LNCS, vol. 6497, pp. 209-224. Springer, Heidelberg (2010)
8. Paulheim, H., Ristoski, P., Mitichkin, E., Christian, B.: Data mining with background knowledge from the web. In: RapidMiner World (2014)
9. Schmachtenberg, M., Strufe, T., Paulheim, H.: Enhancing a location-based recommendation system by enrichment with structured data from the web. In: Web Intelligence, Mining and Semantics (2014)
10. Ting, K.M., Witten, I.H.: Issues in stacked generalization. J. Artif. Intell. Res. 10(1), 271-289 (1999)
11. Zhang, X., Yuan, Q., Zhao, S., Fan, W., Zheng, W., Wang, Z.: Multi-label classification without the multi-label cost. In: Proceedings of the 2010 SDM (2010)