@article{(Open Science Index):https://publications.waset.org/pdf/10003158,
	  title     = {Design of Personal Job Recommendation Framework on Smartphone Platform},
	  author    = {Chayaporn Kaensar},
	  country	= {},
	  institution	= {},
	  abstract     = {Recently, Job Recommender Systems have gained
much attention in industries since they solve the problem of
information overload on the recruiting website. Therefore, we
proposed Extended Personalized Job System that has the capability of
providing the appropriate jobs for job seeker and recommending
some suitable information for them using Data Mining Techniques
and Dynamic User Profile. On the other hands, company can also
interact to the system for publishing and updating job information.
This system have emerged and supported various platforms such as
web application and android mobile application. In this paper, User
profiles, Implicit User Action, User Feedback, and Clustering
Techniques in WEKA libraries were applied and implemented. In
additions, open source tools like Yii Web Application Framework,
Bootstrap Front End Framework and Android Mobile Technology
were also applied.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {9},
	  number    = {12},
	  year      = {2015},
	  pages     = {2488 - 2492},
	  ee        = {https://publications.waset.org/pdf/10003158},
	  url   	= {https://publications.waset.org/vol/108},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 108, 2015},
	}