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위치 정보를 이용한 오프라인 도서 추천 시스템 : 스마트폰을 이용한 사용자 행동추적 방법과 추천시스템의 설계
김선준(Sunjun Kim),오혜연(Alice Haeyun Oh) 한국HCI학회 2012 한국HCI학회 학술대회 Vol.2012 No.1
책은 빠른 기술의 발전에도 불구하고, 정보전달의 유효한 수단으로써 아직도 큰 영향을 미치고 있다. 추천 시스템은 수많은 서적 중 사용자가 책을 선택하는데 큰 도움을 준다. Collaborative Filtering 은 훌륭한 추천 알고리즘이지만, 오프라인 서점과 온라인 서점에서의 사용자 행동 차이로 인해 오프라인 서점에 바로 적용하기에는 무리가 있다. 본 논문에서는 위치정보를 활용하는 도서 추천 알고리즘을 제안한다. 이 알고리즘은 교보문고의 3 년간의 판매데이터에 기초하여 만들어졌다. 오프라인 서점에서 사용자의 위치를 추적하기 위하여 아이폰 앱을 개발하고, 사용자 스터디를 통하여 새로운 도서 추천 알고리즘의 성능을 검증하였다. A book remains a powerful medium of transferring knowledge and experiences, even in this era of fast increases in e-books and other electronic media. Many recommendation systems assist users in choosing books they make like. A collaborative filtering technique is the most common type of recommendation system in e-commerce environment, but such a technique cannot be applied in a physical bookstore because of inherent differences in users' behaviors in online and offline environments. This paper suggests a novel recommendation system for the offline bookstore using a location information. This system is based on an analysis of 3-year sales records of Kyobo Bookstore, the most popular offline bookstore in Korea. The contributions of this paper include a new recommendation system, implemented for the iPhone, a systematic analysis of the Kyobo dataset for use in offline recommendation, and a user study of the performance of recommendation algorithm.
Prospective F-18 FDOPA PET Imaging Study in Human PD
Vijay Dhawan,Martin H Niethammer,Martin L Lesser,Karalyn N Pappas,Matthew Hellman,Toni M Fitzpatrick,David Bjelke,Jaskirat Singh,Loreta M Quatarolo,Yoon Young Choi,Alice Oh,David Eidelberg,Thomas Chal 대한핵의학회 2022 핵의학 분자영상 Vol.56 No.3
Purpose We present the findings of our final prospective study submitted to the U.S. Food and Drug Administration (FDA) for New Drug Application (NDA) approval for the use of 3,4-dihydroxy-6-[18F]fluoro-L-phenylalanine (F-18 FDOPA) positron emission tomography (PET) imaging for Parkinson’s disease (PD). The primary aim was to determine the sensitivity, specificity, and predictive values of F-18 FDOPA PET in parkinsonian patients with respect to clinical standard-oftruth (SOT). Secondary outcomes included the inter-rater reliability, and correlation of quantitative measures for PET with dopaminergic status. Methods In 68 parkinsonian subjects, F-18 FDOPA PET scan from 80 to 100 min was acquired following a CT scan. Scan images were presented to one expert in F-18 FDOPA image interpretation and two physicians with prior experience in I-123 FPCIT single-photon emission computed tomography image interpretation. Fifty-six subjects completed the study with a followup for SOT determination. Image readers were blind to the clinical/quantitative data; SOT clinician was blind to the image data. Results For 47 of the 56 patients, SOT was in agreement with the PET scan results. For nine patients, SOT suggested dopaminergic deficit, whereas the imaging showed normal uptake. The specificity and positive predictive values are 91% and 92%, respectively, suggesting high probability that those who test positive by the PET scan truly have dopaminergic degeneration. The sensitivity was 73%. Inter-rater agreement was 0.6–0.8 between the different readers. Conclusion Our prospective study demonstrates high specificity and moderate sensitivity of F-18 FDOPA PET for PD. We received NDA approval in October 2019.