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Communications in Computer and Information Science
Volumn 475, Issue , 2014, Pages 144-149
Hybrid recommending exploiting multiple DBPedia language editions
Author keywords

Content boosting; DBPedia; Hybrid recommender systems; Linked open data; Matrix factorization
Indexed keywords

FACTORIZATION; MATRIX ALGEBRA; SEMANTICS;
EID: 84908498386     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-319-12024-9_18     Document Type: Article
Times cited : (7)
References (4)
  • 1
    • 82555191353 scopus 로고    scopus 로고
    • Content-boosted matrix factorization for recommender systems: Experiments with recipe recommendation
    • ACM
    • Forbes, P., Zhu, M.: Content-boosted matrix factorization for recommender systems: experiments with recipe recommendation. In: RecSys 2011, pp. 261-264. ACM (2011)
    • (2011) RecSys 2011 , pp. 261-264
    • Forbes, P.1    Zhu, M.2
  • 2
    • 85008044987 scopus 로고    scopus 로고
    • Matrix factorization techniques for recommender systems
    • Koren, Y., Bell, R., Volinsky, C.: Matrix factorization techniques for recommender systems. Comput. IEEE 42, 30-37 (2009)
    • (2009) Comput. IEEE , vol.42 , pp. 30-37
    • Koren, Y.1    Bell, R.2    Volinsky, C.3
  • 3
    • 84887592199 scopus 로고    scopus 로고
    • Top-N recommendations from implicit feedback leveraging linked open data
    • ACM
    • Ostuni, V.C., Di Noia, T., Di Sciascio, E., Mirizzi, R.: Top-N recommendations from implicit feedback leveraging linked open data. In: RecSys 2013, pp. 85-92. ACM (2013)
    • (2013) RecSys 2013 , pp. 85-92
    • Ostuni, V.C.1    Di Noia, T.2    Di Sciascio, E.3    Mirizzi, R.4
  • 4
    • 85015511077 scopus 로고    scopus 로고
    • Using LOD to improve recommending on e-commerce
    • Peska, L., Vojtas, P.: Using LOD to improve recommending on e-commerce. In: SerSy’13 (2013). http://www.ksi.mff.cuni.cz/*peska/sersy13.pdf
    • (2013) SerSy’13
    • Peska, L.1    Vojtas, P.2

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.