Browse > Article
http://dx.doi.org/10.6109/jkiice.2011.15.5.1097

Personalized Book Recommendation System based on Semantic Web  

Kim, Jin-Chun (경성대학교 컴퓨터학부)
Abstract
In this paper, we propose a semantic web approach for personalized book recommendation. Our approach takes advantage of the content-based recommendation and improves its disadvantage that users should input their interesting fields into all book search systems they use. Our approach provides the sharing of users' profile with their interesting fields by enabling user's interesting fields to be described over each book classification ontology of various book information providers. We also provide a middleware that manages users' profiles written in RDF and analizes similarity between user's interesting field and each concept over the book classification ontology. Our approach provide better performance than traditional keyword-based search by sharing the user's profile among book recommendation systems.
Keywords
Book Search; Content-based Recommendation; Semantic Web; Ontology;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 김주연, 김종우, 김진천, "개인화서비스를 위한 시맨틱웹 기반 푸시서비스 기법," 한국콘텐츠학회논문지, 제10권, 제6호, pp.18-26, 2010.
2 T.Berners-Lee, The Semantic Web, Scientific American, 2001.
3 Antoniou and van Harmelen. A Semantic web Primer, The MIT Press, Cambridge, 2004.
4 F.Manola and E.Miller, RDF Primer (http://www.w3.org/TR/2004/REC-rdf-primer-200402 10/), W3C (MIT, ERCIM, Keio), 2004.
5 M.K.Smith, C.Welty, and D.L.McGuinness, OWL Web Ontology Language Guide (http://www.w3.org/ TR/owl-guide/), W3C (MIT, ERCIM, Keio), 2004.
6 J.J.Carroll, I.Dickinson, and C.Dollin, "Jena: Implementing the Semantic Web Recommendation," WWW2004, ACM, New York, USA, pp. 74-83, 2004.
7 이상기, 이병섭, 박병용, 황혜경, "나이브베이즈 분류모델과 협업필터링 기반 지능형 학술논문 추천시스템 연구," 정보관리연구, 제41권, 제4호, pp.227- 249, 2010.
8 L.Geng, Z.Jeng, and Y.Jiang, "Research on E-Commerce personalized service based on intelligent agent technology," IEEE Int. Conf. on Service Operations, Logistics, and Informatics, pp. 1113-1118, 2008.
9 A.Saghiri and A.Bagheri, "An Adaptive Architecture for Personalized Search Engine in Ubiqutous Environment with Peer to Peer Systems," Int. Conf. on Information and Multimedia Thechnology, pp. 107-111, 2009.
10 B.Krulwich and C.Burkey, "Learning user information interests through extraction of semanticallysignificant phrases," Proc. of the AAAI Spring Symposium on Machine Learning in Information Access, pp. 110-112, 1996.
11 J.A.Konstan, B.N.Miller, D.Maltz, J.L.Herlocker, L.R.Gordon, and J.Riedl, "GroupLens: applying collaborative filtering to Usenet news," Communications of the Association, vol 40, no.3, pp.77-87, 1997.   DOI   ScienceOn