최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기Mobile networks and applications : MONET, v.23 no.4, 2018년, pp.1111 - 1122
Hong, Minsung , Jung, Jason J.
초록이 없습니다.
Int J Inf Manag A Gandomi 35 2 137 2015 10.1016/j.ijinfomgt.2014.10.007 Gandomi A, Haider M (2015) Beyond the hype: big data concepts, methods, and analytics. Int J Inf Manag 35(2):137-144
Acta Polytechnica Hungarica OJ Lee 13 2 179 2016 Lee OJ, Hong MS, Jung JJ, Shin J, Kim P (2016) Adaptive collaborative filtering based on scalable clustering for big recommender systems. Acta Polytechnica Hungarica 13(2):179-194
Mobile Networks and Applications KG Saranya 22 4 719 2017 10.1007/s11036-017-0842-9 Saranya KG, Sadasivam GS (2017) Personalized news article recommendation with novelty using collaborative filtering based rough set theory. Mobile Networks and Applications 22(4):719-729
Appl Intell LQ Sánchez 40 4 732 2014 10.1007/s10489-013-0504-y Sánchez LQ, Recio-garcía JA, Díaz-Agudo B (2014) An architecture and functional description to integrate social behaviour knowledge into group recommender systems. Appl Intell 40(4):732-748
Mobile Networks and Applications F Piccialli 22 4 605 2017 10.1007/s11036-016-0803-8 Piccialli F, Jung JE (2017) Understanding customer experience diffusion on social networking services by big data analytics. Mobile Networks and Applications 22(4):605-612
Sánchez L Q, Recio-garcía JA, Díaz-agudo B (2011) User satisfaction in long term group recommendations. In: Proceedings of the 19th international conference on case-based reasoning, ICCBR, vol 6880. Springer, London, Lecture Notes in Computer Science, pp 211-225
Piliponyte A, Ricci F, Koschwitz J (2013) Sequential music recommendations for groups by balancing user satisfaction. In: Proceedings of the 21st conference on user modeling, adaptation and personalization, Rome
Online Inf Rev A Tommasel 39 6 812 2015 10.1108/OIR-04-2015-0107 Tommasel A, Corbellini A, Godoy D, Schiaffino SN (2015) Exploring the role of personality traits in followee recommendation. Online Inf Rev 39(6):812-830
IEEE Trans Serv Comput Y Zhang 9 5 786 2016 10.1109/TSC.2016.2592520 Zhang Y (2016) Grorec: A, group-centric intelligent recommender system integrating social, mobile and big data technologies. IEEE Trans Serv Comput 9(5):786-795
User Model User-Adap Inter J Masthoff 16 3-4 281 2006 10.1007/s11257-006-9008-3 Masthoff J, Gatt A (2006) In pursuit of satisfaction and the prevention of embarrassment: affective state in group recommender systems. User Model User-Adap Inter 16(3-4):281-319
Mobile Networks and Applications M Chen 19 2 171 2014 10.1007/s11036-013-0489-0 Chen M, Mao S, Liu Y (2014) Big data: a survey. Mobile Networks and Applications 19(2):171-209
IEEE Trans Knowl Data Eng X Wu 26 1 97 2014 10.1109/TKDE.2013.109 Wu X, Zhu X, Wu G, Ding W (2014) Data mining with big data. IEEE Trans Knowl Data Eng 26 (1):97-107
Information Fusion GB Orgaz 28 45 2016 10.1016/j.inffus.2015.08.005 Orgaz GB, Jung JJ, Camacho D (2016) Social big data: recent achievements and new challenges. Information Fusion 28:45-59
Mobile Networks and Applications Y Zhang 22 6 1182 2017 10.1007/s11036-017-0864-3 Zhang Y, Tu Z, Wang Q (2017) Temporec: temporal-topic based recommender for social network services. Mobile Networks and Applications 22(6):1182-1191
Kompan M, Bieliková M (2014) Social structure and personality enhanced group recommendation. In: Proceedings of the 22nd conference on user modeling, adaptation and personalization, Aalborg
Pers Ubiquit Comput M Hong 21 2 191 2017 10.1007/s00779-016-0985-x Hong M, Jung JJ, Piccialli F, Chianese A (2017) Social recommendation service for cultural heritage. Pers Ubiquit Comput 21(2):191-201
Computing and Informatics M Kompan 33 2 446 2014 Kompan M, Bielikova M (2014) Group recommendations: Survey and perspectives. Computing and Informatics 33(2):446- 476
Zheng Y, Mobasher B, Burke R (2017) Emotions in context-aware recommender systems. In: Emotions and personality in personalized services - models, evaluation and applications, Human-Computer Interaction Series, Springer, pp 311-326
Group Process Intergroup Relat R Bond 8 4 331 2005 10.1177/1368430205056464 Bond R (2005) Group size and conformity. Group Process Intergroup Relat 8(4):331-354
Multimedia Tools and Applications B Han 47 3 433 2010 10.1007/s11042-009-0332-6 Han B, Rho S, Jun S, Hwang E (2010) Music emotion classification and context-based music recommendation. Multimedia Tools and Applications 47(3):433-460
Tkalcic M, Carolis BD, de Gemmis M, Odic A, Kosir A (2017) Introduction to emotions and personality in personalized systems. In: Emotions and personality in personalized services - models, evaluation and applications, Human-Computer Interaction Series, Springer, pp 3-11
IEEE Trans Multimedia M Tkalcic 15 2 391 2013 10.1109/TMM.2012.2229970 Tkalcic M, Odic A, Kosir A, Tasic JF (2013) Affective labeling in a content-based recommender system for images. IEEE Trans Multimedia 15(2):391-400
10.1007/978-3-642-20161-5_83 Moshfeghi Y, Jose JM (2011) Role of emotional features in collaborative recommendation. In: Proceedings of the 33rd European conference on IR research, ECIR 2011, vol 6611. Springer, Dublin, Lecture Notes in Computer Science. pp 738-742
Multimedia Tools and Applications S Chakraverty 76 24 25827 2017 10.1007/s11042-017-4767-x Chakraverty S, Mala S (2017) Review based emotion profiles for cross domain recommendation. Multimedia Tools and Applications 76(24):25827-25850
10.1145/2662253.2662269 Chen Y, Ma X, Cerezo A, Pu P (2014) Empatheticons: Designing emotion awareness tools for group recommenders. In: Proceedings of the 14 international conference on human computer interaction, Interacción ’14, Puerto de la Cruz, Tenerife, Spain, September 10-12, 2014, ACM, pp 16:1-16:8
IEEE Intell Syst J Guo 31 5 40 2016 10.1109/MIS.2016.28 Guo J, Zhu Y, Li A, Wang Q, Han W (2016) A social influence approach for group user modeling in group recommendation systems. IEEE Intell Syst 31(5):40-48
Online Inf Rev IA Christensen 38 4 524 2014 10.1108/OIR-08-2013-0187 Christensen IA, Schiaffino SN (2014) Social influence in group recommender systems. Online Inf Rev 38 (4):524-542
J Intell Inf Syst IA Christensen 47 2 209 2016 10.1007/s10844-016-0400-0 Christensen IA, Schiaffino SN, Armentano M (2016) Social group recommendation in the tourism domain. J Intell Inf Syst 47(2):209-231
J Pers Soc Psychol P Ekman 53 4 712 1987 10.1037/0022-3514.53.4.712 Ekman P, Friesen WV, O’Sullivan M, Chan A, Diacoyanni-Tarlatzis I, Heider K, Krause R, LeCompte WA, Pitcairn T, Ricci-Bitti PE, Scherer K, Tomita M, Tzavaras A (1987) Universals and cultural differences in the judgments of facial expressions of emotion. J Pers Soc Psychol 53(4):712-717
Dev Psychopathol J Posner 17 03 715 2005 10.1017/S0954579405050340 Posner J, Russell JA, Peterson BS (2005) The circumplex model of affect: an integrative approach to affective neuroscience, cognitive development, and psychopathology. Dev Psychopathol 17(03):715-734
Emotion M Yik 11 4 705 2011 10.1037/a0023980 Yik M, Russell JA, Steiger JH (2011) A 12-point circumplex structure of core affect. Emotion 11(4):705
Cybern Syst M Hong 47 1-2 88 2016 10.1080/01969722.2016.1128771 Hong M, Jung JJ (2016) Mymoviehistory: social recommender system by discovering social affinities among users. Cybern Syst 47(1-2):88-110
The International Review of Research in Open and Distributed Learning SL Piezon 9 2 1034 2008 10.19173/irrodl.v9i2.484 Piezon SL, Ferree WD (2008) Perceptions of social loafing in online learning groups: a study of public university and us naval war college students. The International Review of Research in Open and Distributed Learning 9(2):1034-1054
Psychol Rev G Stasser 88 6 523 1981 10.1037/0033-295X.88.6.523 Stasser G, Davis JH (1981) Group decision making and social influence: a social interaction sequence model. Psychol Rev 88(6):523-551
Psychol Bull R Bond 119 1 111 1996 10.1037/0033-2909.119.1.111 Bond R, Smith PB (1996) Culture and conformity: a meta-analysis of studies using asch’s (1952b, 1956) line judgment task. Psychol Bull 119(1):111
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.