透過您的圖書館登入
IP:18.118.171.20
  • 期刊
  • OpenAccess

Ubiquitous Job Recommendation System for Graduates in Taiwan

並列摘要


The number of graduates with bachelor degrees has increased rapidly from 117,430 in 2000 to 232,448 in 2011. It is evident that the recruitment market may be out of balance due the lack of a positive correlation with the employment rate. Based on a survey of the National Youth Commission (NYC) in 2010, 47.5% of youth employees received their jobs through media advertisement and 35.26% through the introduction of relatives, friends, etc. The rates via introductions are less than those via advertisement, since the former provides lower risk and higher reliability for the employers. This paper proposes a job recommendation system that aims to assist academia in promoting graduates to appropriate employers. With usability in mind, the system provides a ubiquitous framework with web service technologies and can be applied easily to web and mobile applications. A job recommendation prototype was implemented on the Android and iPhone mobile platforms. Through these systems, users could efficiently seek out and discover appropriate graduates and then recommend them to employers.

參考文獻


K. Irwin, R.L. Michael, and Hao Ma, Introduction to social recommendation. Paper presented at the 19th International Conference on World Wide Web, Raleigh, North Carolina, USA, April 26-30, 2010. http://dx.doi.org/10.1145/1772690.1772927.
I. Guy, and C. David, Social recommender systems. In G. Ghinita and K. Punera (Eds.), Proceedings of the 20th International Conference Companion on World Wide Web (p283-284). New York, NY, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1963192.1963312.
I. Guy, R. Inbal, and W. Eric, Do you know? Recommending people to invite into your social network. In C. Conati and M. Bauer (Eds.), Proceedings of the 14th International Conference on Intelligent User Interfaces (p77-86). New York, NY, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1502650.1502664.
M. Eirinaki, M.D. Louta, and I. Varlamis, A trust-aware system for personalized user recommendations in social networks. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 44(4), p409-421, 2013. http://dx.doi.org/10.1109/TSMC.2013.2263128.
Statistical Summaries of Ministry of Education, Number of Schools, Teachers, Staff, Classes, Students and Graduates (1950-2012). Retrieved on June 1, 2013, from http://english.moe.gov.tw/ct.asp?xItem=14530&ctNode=11432&mp=1

延伸閱讀