가야대학교 분성도서관
주메뉴
자료검색
- Home
- 상세정보
상세정보
부가기능
Explainable Recommendation for Event Sequences: A Visual Analytics Approach
상세 프로파일
| 자료유형 | E-Book |
|---|---|
| 개인저자 | Du, Fan. |
| 단체저자명 | University of Maryland, College Park. Computer Science. |
| 서명/저자사항 | Explainable Recommendation for Event Sequences: A Visual Analytics Approach. |
| 발행사항 | [S.l.] : University of Maryland, College Park., 2018 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
| 형태사항 | 220 p. |
| 소장본 주기 | School code: 0117. |
| ISBN | 9780438149342 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
Advisers: Ben Shneiderman |
| 요약 | People use recommender systems to improve their decisions, for example, item recommender systems help them find films to watch or books to buy. Despite the ubiquity of item recommender systems, they can be improved by giving users greater transp |
| 요약 | This dissertation's main contribution is the use of both record attributes and temporal event information as features to identify similar records and provide appropriate recommendations. While traditional item recommendations are generated based |
| 요약 | This dissertation applies a visual analytics approach to present and explain recommendations of event sequences. It presents a workflow for event sequence recommendation that is implemented in EventAction. Results from empirical studies show tha |
| 요약 | This dissertation contributes an analytical workflow, an interactive system, and design guidelines identified in empirical studies and case studies, opening new avenues of research in explainable event sequence recommendations based on personal |
| 일반주제명 | Computer science. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International79-11B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14997361 |
소장정보
- 소장정보
인쇄
| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00026780 | 004 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |
|
카피라이터
