1. Web-service Based Human Resource Recruitment by Using Matchmaking Decision Support Dickson K. W. CHIU Senior Member, IEEE Dickson Computer Systems Hong Kong kwchiu@acm.org, dicksonchiu@ieee.org Ho-fung LEUNG Senior Member, IEEE Dept. of Computer Science & Engineering Chinese University of Hong Kong lhf@cse.cuhk.edu.hk Gilbert H.L. LUK Dept. of Computer Science & Engineering Hong Kong University of Science & Technology hlgluk@ust.hk

2. Mortgage DSSHICSS39 - 2 Introduction Effective decision making often requires disparate information from heterogeneous sources Current ineffective platform support for information integration Case Study: Human resource recruitment Increasing cost (esp. for professionals) => important decision to management Different job natures => Multi-domain knowledge Different sources of applicants – intranet, websites, agencies Different information format – application form, letter, CV (paper and electronic) Tedious and time-consuming process Studies how the application of Web service technologies helps

3. Mortgage DSSHICSS39 - 3 Typical Hiring Process

4. Mortgage DSSHICSS39 - 4 e-HR System Overview

5. Mortgage DSSHICSS39 - 5 Dataflow of e-HR

6. Mortgage DSSHICSS39 - 6 e-HR System Architecture

7. Mortgage DSSHICSS39 - 7 UML Concept Model for e-HR

8. Mortgage DSSHICSS39 - 8 Web Service Operations

9. Mortgage DSSHICSS39 - 9 Profile Request and Response

10. Mortgage DSSHICSS39 - 10 XML DTD for Profile

11. Mortgage DSSHICSS39 - 11 Example Weight XML

12. Mortgage DSSHICSS39 - 12 Ranking Profile Components Offer AOffer BExpected Years of experiences 354 Salary 100001300012000 Availability 10.51 Profile Components Offer AOffer B Weight Years of experiences (3 – 4)/4 = -0.25(5 - 4)/4 = 0.25 8 Salary (12000 – 10000)/12000 = 0.166 (12000-13000)/12 =-0.083 5 Availability (1 -1) /1 = 0 (1 – 0.5) / 1 = 0.5 3

13. Mortgage DSSHICSS39 - 13 Ranking - Result Profile Components ABWeighting Years of experiences-0.25*8 = -2 0.25*8 =2 8 Salary0.166*5= 0.833 -0.083*5= -0.415 5 Availability0*3=00.5*3= 1.53 Total Score-1.1663.085

14. Mortgage DSSHICSS39 - 14 Summary  Web services and agents integrates disparate information to facilitate decision support  Attempts to address real-life problems: complexity of contracts and decision  Value added service from end-users’ perspective  Web Service Architecture (WSA)  provides an efficient channel to communicate among parties in the business processes  extend the value of current legacy systems  less paper exchange  more automated and accelerated processes

15. Mortgage DSSHICSS39 - 15 Future Work  Further enhancement and automotion of the mortgage application workflow  Reach a state of paperless and all-in-one stop for recuitment  Enhance the current built-in raking function: pattern recognition and data mining techniques  Abstracting the experience gathered from our case study to a higher level methodology and meta-model  Application of ontologies

16. Mortgage DSSHICSS39 - 16 Question and Answer Thank you!