Web-service Based Human Resource Recruitment by Using Matchmaking Decision Support Dickson K. W. CHIU Senior Member, IEEE Dickson Computer Systems Hong.

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Web-service Based Human Resource Recruitment by Using Matchmaking Decision Support Dickson K. W. CHIU Senior Member, IEEE Dickson Computer Systems Hong Kong Ho-fung LEUNG Senior Member, IEEE Dept. of Computer Science & Engineering Chinese University of Hong Kong Gilbert H.L. LUK Dept. of Computer Science & Engineering Hong Kong University of Science & Technology

Mortgage DSSHICSS 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

Mortgage DSSHICSS Typical Hiring Process

Mortgage DSSHICSS e-HR System Overview

Mortgage DSSHICSS Dataflow of e-HR

Mortgage DSSHICSS e-HR System Architecture

Mortgage DSSHICSS UML Concept Model for e-HR

Mortgage DSSHICSS Web Service Operations

Mortgage DSSHICSS Profile Request and Response

Mortgage DSSHICSS XML DTD for Profile

Mortgage DSSHICSS Example Weight XML

Mortgage DSSHICSS Ranking Profile Components Offer AOffer BExpected Years of experiences 354 Salary Availability Profile Components Offer AOffer B Weight Years of experiences (3 – 4)/4 = -0.25(5 - 4)/4 = Salary (12000 – 10000)/12000 = ( )/12 = Availability (1 -1) /1 = 0 (1 – 0.5) / 1 = 0.5 3

Mortgage DSSHICSS Ranking - Result Profile Components ABWeighting Years of experiences-0.25*8 = *8 =2 8 Salary0.166*5= *5= Availability0*3=00.5*3= 1.53 Total Score

Mortgage DSSHICSS 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

Mortgage DSSHICSS 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

Mortgage DSSHICSS Question and Answer Thank you!