TY - GEN
T1 - Construction of an interactive behavioral and feature structure model for Facebook
AU - Chen, Tsung Yi
AU - Tsai, Meng Che
AU - Chen, Yuh Min
PY - 2014
Y1 - 2014
N2 - All businesses need to attract customers, and promoting a Arm's goods and services is the most direct way to achieve this. The use of effective communication strategies can help in this regard, and such efforts can be enhanced if more information can be obtained about the personality traits of the target audience. This study proposes a mechanism for automatically inferring users' personality traits from their social media records, instead of more traditional ways such as face-to-face interviews and observations or questionnaires. This study presents an 'interactive behavioral model' and a large number of 'interactive behavioral features' for use with Facebook. With regard to practical applications, the proposed mechanism could be used as a cloud-computing service, and the system architecture to support this is presented. In the future, the system could serve businesses as a decision support tool for developing better marketing plans and customized sales.
AB - All businesses need to attract customers, and promoting a Arm's goods and services is the most direct way to achieve this. The use of effective communication strategies can help in this regard, and such efforts can be enhanced if more information can be obtained about the personality traits of the target audience. This study proposes a mechanism for automatically inferring users' personality traits from their social media records, instead of more traditional ways such as face-to-face interviews and observations or questionnaires. This study presents an 'interactive behavioral model' and a large number of 'interactive behavioral features' for use with Facebook. With regard to practical applications, the proposed mechanism could be used as a cloud-computing service, and the system architecture to support this is presented. In the future, the system could serve businesses as a decision support tool for developing better marketing plans and customized sales.
UR - http://www.scopus.com/inward/record.url?scp=84988227024&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84988227024&partnerID=8YFLogxK
U2 - 10.1109/IEEM.2014.7058790
DO - 10.1109/IEEM.2014.7058790
M3 - Conference contribution
AN - SCOPUS:84988227024
T3 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 1008
EP - 1012
BT - IEEM 2014 - 2014 IEEE International Conference on Industrial Engineering and Engineering Management
PB - IEEE Computer Society
T2 - 2014 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2014
Y2 - 9 December 2014 through 12 December 2014
ER -