지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국자료분석학회 Journal of The Korean Data Analysis Society Journal of The Korean Data Analysis Society 제12권 제1호
- 발행연도
- 2010.1
- 수록면
- 99 - 107 (9page)
이용수
초록· 키워드
오류제보하기
This research is the study of how response characteristics of users affect the accuracy of Top-N. Also, this study in Top-N recommendation is the base research about the determination of N in Top-N. According to the response characteristics(response mean of each individual user, standard deviation, skewness, and kurtosis), the difference of the accuracy of Top-N is analyzed. As a result of this experiment, the accuracy of Top-N of users can be classified by response mean of each individual user, standard deviation, skewness, and kurtosis. The accuracy of Top-N in e-commerce is a tool that can give trust to customers who visit the e-commercial sites. This is also expected to be used on the expanding m-commerce market. The recommender system in on-line business transaction is a useful tool, but making the lists of 'Top-N is not a simple matter. For a further study, formula to determine the N of Top-N should be extracted.
목차
등록된 정보가 없습니다.
참고문헌 (20)
참고문헌 신청
Adomavicius, G. / 2005 / Toward the Next Generation of Recommender System: A Survey of the State-of-the-Art and Possible Extensions / IEEE Transactions on Knowledge and Data
Breese, J. S. / 1998 / Empirical Analysis of Predictive Algorithms for Collaborative Filtering / Proceedings of the Fourteenth Annual Conference on Uncertainty in Artificial Intell
Goldberg, D. / 1992 / Using Collaborative Filtering to Weave an Information Tapestry / Communications of the ACM 35 : 61 ~ 70
Herlocker, J. / 1999 / An Algorithmic Framework for Performing Collaborative Filtering / Proceedings of the 22nd ACM SIGIR Conference on Information Retrieval : 230 ~ 237
Konstan, J. / 1997 / GroupLens: Applying Collaborative Filtering to Usenet News / Communications of the ACM 40 : 77 ~ 87
Breese, J. S. / 1998 / Empirical Analysis of Predictive Algorithms for Collaborative Filtering / Proceedings of the Fourteenth Annual Conference on Uncertainty in Artificial Intell
Goldberg, D. / 1992 / Using Collaborative Filtering to Weave an Information Tapestry / Communications of the ACM 35 : 61 ~ 70
Herlocker, J. / 1999 / An Algorithmic Framework for Performing Collaborative Filtering / Proceedings of the 22nd ACM SIGIR Conference on Information Retrieval : 230 ~ 237
Konstan, J. / 1997 / GroupLens: Applying Collaborative Filtering to Usenet News / Communications of the ACM 40 : 77 ~ 87
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