Responding to social issues is very crucial because their impact can be significant to organizations or individuals. In this paper, we focus on proposing the method that identifies the personalized relevance of social issues to targets, such as individuals or organizations. To achieve this aim, we first collected trending social issues from Google Trends, micro- blog, and Internet news. Then, we obtained the well-structured document management system as a target domain that contains all activities regarding target objects. We applied the Term Frequency Inverse Document Frequency to obtain the personalized relevance weight of the social issue to a target.
History
Publication title
Proceedings 2012 IEEE 19th International Conference on Web Services
Editors
D Richards and BH Kang
Pagination
666-667
ISBN
978-0-7695-4752-7
Department/School
School of Information and Communication Technology
Publisher
IEEE Computer Society
Place of publication
Piscataway, NJ, USA
Event title
Proceedings 2012 IEEE 19th International Conference on Web Services - ICWS 2012
Event Venue
Honolulu, Hawaii
Date of Event (Start Date)
2012-06-24
Date of Event (End Date)
2012-06-29
Repository Status
Restricted
Socio-economic Objectives
Information systems, technologies and services not elsewhere classified