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A Personalized Recommender System with Correlation Estimation
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Yang, Fan. |
| 단체저자명 | University of Minnesota. Statistics. |
| 서명/저자사항 | A Personalized Recommender System with Correlation Estimation. |
| 발행사항 | [S.l.] : University of Minnesota., 2018 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
| 형태사항 | 95 p. |
| 소장본 주기 | School code: 0130. |
| ISBN | 9780438168497 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Xiaotong Shen. |
| 요약 | Recommender systems aim to predict users' ratings on items and suggest certain items to users that they are most likely to be interested in. Recent years there has been a lot of interest in developing recommender systems, especially personalized |
| 요약 | Existing recommender system methods typically ignore the correlations between ratings given by a user. However, based on our observation the correlations can be strong. We propose a new personalized recommender system method that takes into acco |
| 일반주제명 | Statistics. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International79-12B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14998473 |
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인쇄
| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00024050 | DP 310 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출불가(별치) |
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