Browse > Article
http://dx.doi.org/10.14400/JDC.2016.14.8.313

Social Network based Sensibility Design Recommendation using {User - Associative Design} Matrix  

Jung, Eun-Jin (Intelligent System Lab., Dept. of Computer Information Engineering, Sangji University)
Kim, Joo-Chang (Intelligent System Lab., Dept. of Computer Information Engineering, Sangji University)
Jung, Hoill (Intelligent System Lab., Dept. of Computer Information Engineering, Sangji University)
Chung, Kyungyong (School of Computer Information Engineering, Sangji University)
Publication Information
Journal of Digital Convergence / v.14, no.8, 2016 , pp. 313-318 More about this Journal
Abstract
The recommendation service is changing from client-server based internet service to social networking. Especially in recent years, it is serving recommendations with personalization to users through crowdsourcing and social networking. The social networking based systems can be classified depending on methods of providing recommendation services and purposes by using memory and model based collaborative filtering. In this study, we proposed the social network based sensibility design recommendation using associative user. The proposed method makes {user - associative design} matrix through the social network and recommends sensibility design using the memory based collaborative filtering. For the performance evaluation of the proposed method, recall and precision verification are conducted. F-measure based on recommendation of social networking is used for the verification of accuracy.
Keywords
Social Network; Sensibility Design; Recommendation; Crowdsourcing; Collaborative Filtering;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 S. Lee, S. Park, “A Quality Control Framework for High Quality Crowdsourcing,” Korean Institute of Information Scientists and Engineers, Vol. 40, No. 2, pp. 158-160, 2013.
2 K. Jae, “Achievements and Challenges of Crowdsourcing Journalism,” Journal of Social Science, Vol. 25, No. 3, pp. 205-224, 2014.
3 D. Lee, C. Lee, “A Study on the Applicability of Crowdsourcing for Cadastral Reform,” Korean Association of Cadastre Information, Vol. 28, No. 2, pp. 55-70, 2012.
4 K. Chung, J. Kim, H. Jung, J. Lee, “An Item - based Collaborative Filtering Technique by Associative Relation Clustering in Personalized Recommender Systems,” Journal of KIISE : Software and Applications, Vol. 31, No. 4, pp. 387-536, 2004.
5 H. Jung, H. Kim, K. Chung, M. Kim, W. Kim, K. Shin, D. Hong, S. Oh, "Sensibility Ergonomics Car Design Supporting Method using Information Filtering," The Korea Contents Society, pp. 5-6, International Convention Center Jeju, 2011.
6 C. Jeong, “A Study on the Advertising Creative Based on the Technology Convergence,” Journal of the Korea Convergence Society, Vol. 6, No. 4, pp. 235-241, 2015.   DOI
7 J. Kim, J. Go, K. Lee, “A Scheme of Social Engineering Attacks and Countermeasures Using Big Data based Conversion Voice Phishing,” Journal of the Korea Convergence Society, Vol. 6, No. 1, pp. 85-91, 2015.   DOI
8 J. Park, J. Kim, "A study on identity and possibility of emotional design - Emotional design based on design science which overcomes the limitation of the instrumental point of view," Korean Society of Design Science, pp. 27-38, 2008.
9 S. Chung, S. Lee, J. Um, S. Cho, “Developing knowledge creation framework based on crowdsourcing,” The Korean Institute of Industrial Engineers, Vol. 2012, No. 5, pp. 2521-2531, 2012.
10 H. Jung, K. Chung, “P2P Context Awareness based Sensibility Design Recommendation using Color and Bio-signal Analysis,” Peer-to-Peer Networking and Applications, Vol. 9, No. 3, pp. 546-557, 2016.   DOI
11 H. Jung, K. Chung, “Knowledge-based Dietary Nutrition Recommendation for Obese Management,” Information Technology and Management, Vol. 17, No. 1, pp. 29-42, 2016.   DOI
12 S. H. Kim, K. Chung, “Emergency Situation Monitoring Service using Context Motion Tracking of Chronic Disease Patients,” Cluster Computing, Vol. 18, No. 2, pp. 747-759, 2015.   DOI
13 K. Chung, R. C. Park, “P2P Cloud Network Services for IoT based Disaster Situations Information,” Peer-to-Peer Networking and Applications, Vol. 9, No. 3, pp. 566-577, 2016.   DOI
14 H. Jung, K. Chung, “Discovery of Automotive Design Paradigm using Relevance Feedback,” Personals Ubiqutors Computing, Vol. 18, No. 6, pp. 1363-1372, 2014.   DOI
15 Y. M. Jung, "Information Search theory," Inc. Gumi trading, 1993.