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Volumn 7, Issue , 2007, Pages 4069-4074

Semantic-enhanced personalized recommender system

Author keywords

Clustering; Collaborative filter; Ontology; Personalized recommendation; Semantic information

Indexed keywords

CLUSTERING ALGORITHMS; COMPUTER SUPPORTED COOPERATIVE WORK; ONTOLOGY; SEMANTICS;

EID: 38049048035     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2007.4370858     Document Type: Conference Paper
Times cited : (43)

References (12)
  • 1
    • 3042821101 scopus 로고    scopus 로고
    • Item-Based Top-N Recommendation Algorithms, MUKUND DESHPANDE and GEORGE KARYPIS
    • January
    • Item-Based Top-N Recommendation Algorithms, MUKUND DESHPANDE and GEORGE KARYPIS, ACM Transactions on Information Systems, Vol. 22, No. 1, January 2004, Pages 143-177.
    • (2004) ACM Transactions on Information Systems , vol.22 , Issue.1 , pp. 143-177
  • 2
    • 38049088759 scopus 로고    scopus 로고
    • DENG Ai-Lin, ZHU Yang-Yong, SHI Bai-Le. A Collaborative Filtering Recomm endation Algorithm Based on Item Rating Prediction. Journal of Software, 1000. 9825/2003/14(09)162
    • DENG Ai-Lin, ZHU Yang-Yong, SHI Bai-Le. A Collaborative Filtering Recomm endation Algorithm Based on Item Rating Prediction. Journal of Software, 1000. 9825/2003/14(09)162
  • 3
    • 38049057125 scopus 로고    scopus 로고
    • Improving Recommendation Lists Through Topic Diversification, CaiNicolas Ziegler,Sean M. McNee,Joseph A. Konstan,Georg Lausen, WWW 2005, May 1014,2005, Chiba, Japan
    • Improving Recommendation Lists Through Topic Diversification, CaiNicolas Ziegler,Sean M. McNee,Joseph A. Konstan,Georg Lausen, WWW 2005, May 1014,2005, Chiba, Japan
  • 4
    • 3242713086 scopus 로고    scopus 로고
    • Context boosting collaborative recommendations, Conor Hayes, Pa'draig Cunningham
    • Context boosting collaborative recommendations, Conor Hayes, Pa'draig Cunningham, Knowledge-Based Systems 17 (2004) 131-138
    • (2004) Knowledge-Based Systems , vol.17 , pp. 131-138
  • 5
    • 38048999465 scopus 로고    scopus 로고
    • Enhancing Collaborative Filtering with Demographic Data: The case of Item-based Filtering, Manolis Vozalis and Konstantinos G. Margaritis,the fourth International Conference of Intelligent Systems Design and Applications (ISDA04)
    • Enhancing Collaborative Filtering with Demographic Data: The case of Item-based Filtering, Manolis Vozalis and Konstantinos G. Margaritis,the fourth International Conference of Intelligent Systems Design and Applications (ISDA04)
  • 6
    • 38049029047 scopus 로고    scopus 로고
    • Unifying User-based and Item-based Collaborative Filtering Approaches by Similarity Fusion, Jun Wang, Arjen P. de Vries, Marcel J.T. Reinders1SIGIR'06, August 6-11, 2006, Seattle, Washington, USA
    • Unifying User-based and Item-based Collaborative Filtering Approaches by Similarity Fusion, Jun Wang, Arjen P. de Vries, Marcel J.T. Reinders1SIGIR'06, August 6-11, 2006, Seattle, Washington, USA
  • 7
    • 9244231155 scopus 로고    scopus 로고
    • A hybrid collaborative filtering method for multiple-interests and multiple-content recommendation in E-Commerce,Yu li, Liu lu, Li xuefeng, Expert Systems with Applications 28 (2005) 67-77
    • A hybrid collaborative filtering method for multiple-interests and multiple-content recommendation in E-Commerce,Yu li, Liu lu, Li xuefeng, Expert Systems with Applications 28 (2005) 67-77
  • 8
    • 38049054694 scopus 로고    scopus 로고
    • Implementations of web-based Recommender Systems Using Hybrid Methods, Janusz Sobecki, International Journal of Computer Science & Applications 3 Issue 3, pp52-64
    • Implementations of web-based Recommender Systems Using Hybrid Methods, Janusz Sobecki, International Journal of Computer Science & Applications vol.3 Issue 3, pp52-64
  • 9
    • 1442310758 scopus 로고    scopus 로고
    • Feature-based recommendations for one-to-one marketing, Sung-Shun Weng, Mei-Ju Liu
    • Feature-based recommendations for one-to-one marketing, Sung-Shun Weng, Mei-Ju Liu, Expert Systems with Applications 26 (2004) 493-508
    • (2004) Expert Systems with Applications , vol.26 , pp. 493-508
  • 10
    • 38049009888 scopus 로고    scopus 로고
    • Using Item Descriptors in Recommender Systems, Eliseo Reategui, John A. Campbell, Roberto Torres, American Association for Artificial Intelligence
    • Using Item Descriptors in Recommender Systems, Eliseo Reategui, John A. Campbell, Roberto Torres, American Association for Artificial Intelligence
  • 11
    • 38049057755 scopus 로고    scopus 로고
    • capturing evolving patterns for ontology-based web mining, yuefeng li,ning zhong, Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI'04)
    • capturing evolving patterns for ontology-based web mining, yuefeng li,ning zhong, Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence (WI'04)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.