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020 ▼a 9780438350908
035 ▼a (MiAaPQ)AAI10825588
035 ▼a (MiAaPQ)umn:19259
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 004
1001 ▼a Zhao, Qian.
24510 ▼a User-centric Design and Evaluation of Online Interactive Recommender Systems.
260 ▼a [S.l.]: ▼b University of Minnesota., ▼c 2018.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2018.
300 ▼a 161 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
500 ▼a Adviser: Joseph Konstan.
5021 ▼a Thesis (Ph.D.)--University of Minnesota, 2018.
520 ▼a User interaction is present in all user interfaces including recommender systems. Understanding user factors in interactive recommender systems is important for achieving better user experience and overall user satisfaction. Many prior works in
590 ▼a School code: 0130.
650 4 ▼a Computer science.
690 ▼a 0984
71020 ▼a University of Minnesota. ▼b Computer Science.
7730 ▼t Dissertation Abstracts International ▼g 80-01B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0130
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998782 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 201812 ▼f 2019
990 ▼a ***1012033