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1. (WO2015119335) CONTENT RECOMMENDATION METHOD AND DEVICE
Latest bibliographic data on file with the International Bureau   

Pub. No.:    WO/2015/119335    International Application No.:    PCT/KR2014/003915
Publication Date: 13.08.2015 International Filing Date: 02.05.2014
IPC:
G06F 17/00 (2006.01), G06F 17/30 (2006.01), G06F 3/01 (2006.01), G06F 3/14 (2006.01)
Applicants: SAMSUNG ELECTRONICS CO., LTD. [KR/KR]; 129 Samsung-ro Yeongtong-gu, Suwon-si Gyeonggi-do 443-742 (KR)
Inventors: LEE, Chang Kyo; (KR).
YOO, Byung In; (KR).
HAN, Seung Ju; (KR).
HAN, Jae Joon; (KR)
Agent: MUHANN PATENT & LAW FIRM; (Myeonglim Building, Nonhyeon-dong) 5th Floor, 9 Hakdong-ro 3-gil Gangnam-gu Seoul 135-814 (KR)
Priority Data:
10-2014-0014184 07.02.2014 KR
Title (EN) CONTENT RECOMMENDATION METHOD AND DEVICE
(FR) PROCÉDÉ ET DISPOSITIF DE RECOMMANDATION DE CONTENU
(KO) 콘텐츠 추천 방법 및 장치
Abstract: front page image
(EN)A content recommendation method and device for recommending content to a user are disclosed. According to one embodiment, the content recommendation device extracts the features of a user from image data, audio data and the like, and can determine a recognition rate indicating the degree that is recognized as a user model predetermined according to the features of the user. The content recommendation device can determine the recommended content to be provided to the user on the basis of the determined recognition rate.
(FR)La présente invention concerne un procédé et un dispositif de recommandation de contenu permettant de recommander un contenu à un utilisateur. Selon un mode de réalisation, le dispositif de recommandation de contenu extrait les caractéristiques d'un utilisateur à partir de données d'image, de données audio et de données similaires. Ledit dispositif peut ensuite déterminer un taux de reconnaissance indiquant le degré qui est reconnu comme un modèle d'utilisateur prédéterminé en fonction des caractéristiques de l'utilisateur. Le dispositif de recommandation de contenu peut déterminer le contenu recommandé devant être fourni à l'utilisateur sur la base du taux de reconnaissance déterminé.
(KO)사용자에게 콘텐츠를 추천하는 콘텐츠 추천 방법 및 장치가 개시된다. 일실시예에 따르면, 콘텐츠 추천 장치는 영상 데이터, 오디오 데이터 등으로부터 사용자 특징을 추출하고, 사용자 특징별로 미리 결정된 사용자 모델로 인식되는 정도를 나타내는 인식률을 결정할 수 있다. 콘텐츠 추천 장치는 결정된 인식률에 기초하여 사용자에게 제공할 추천 콘텐츠를 결정할 수 있다.
Designated States: AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JP, KE, KG, KN, KP, KZ, LA, LC, LK, LR, LS, LT, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW.
African Regional Intellectual Property Organization (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, SZ, TZ, UG, ZM, ZW)
Eurasian Patent Organization (AM, AZ, BY, KG, KZ, RU, TJ, TM)
European Patent Office (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR)
African Intellectual Property Organization (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG).
Publication Language: Korean (KO)
Filing Language: Korean (KO)