A good decision is made usually from gathering adequate
information, working out the importance of individual
factors, and choosing the best course of action. The quantity
and quality of the information, the process of highlighting
the important factors, and the duration to process
the decision are critical. Nowadays, outsource hiring and
recruitment companies have played an important role in
many industries, for reducing the search duration and
increasing the likeliness of employing the right person.
However, there are too many human resource (HR) companies
in the market. Submitting a request for each of
them would need huge amount of time and effort to process.
Intelligent autonomous Web services would be the best
solution to solve this problem. Further, this can reduce the
chance of human errors and bias. Therefore, e-HR
Matchmaking Service (e-HR) is proposed to provide a
standardized human resource searching, platform via the
Web services, returning candidates from many different
sources. The e-HR integrates with the sources’ candidate
management system and retrieves the relevant candidates
matching the requirements. Also, the e-HR weights each
result with configurable ranking criteria and presents the
best matching results to the requesters, assisting them to
make the best decision on hiring and hence reducing the
effort of searching and interviewing.