Technical R&D Projects  
   

 

Funded Projects

Semantic Search and Filtering for Talent Hunting
 
Principal Investigator:
School of Electrical Engineering & Computer Science, NUST, Islamabad
www.seecs.edu.pk
Project Directors:
Dr. Khalid Latif khalid.Latif@seecs.nust.edu.pk
Mr. Atif Mumtaz AMumtaz@PersonForce.com
Project Details:
Start Date: August, 2011 Duration: 21 months
Project Cost: PKR 10.90 million Project Funding: PKR 10.90 million
Project Status: In progress.
Technical Progress Reports Submitted:
NA
Pending Reports:
None.
Deliverables Submitted:
NA
Pending Deliverables:

None.
Financial Audit Report: NA
Project URL: NA
 

Executive Summary

Personforce, a market leader in online HRM solutions, and NUST-SEECS, Pakistan’s leading engineering university have collaborated to come to a single platform to develop and implement a cutting edge new age technology – semantic search and filtering in job portals. Semantic searching is a process used to improve online searching by using metadata from semantic networks to disambiguate queries in order to generate more relevant results. This technology is relatively recent and few have tried to implement it to existing scenarios. Personforce and NUST realized the great potential in such technology and see it as a multifaceted way to increase the efficiency of job portals by automatically reducing noise in search results for both the job seekers and employers. Within the scope of this project, this technology will be utilized to tackle some of the bigger challenges faced in an HR portal,such as automatic resume-job matching and filtering, and enhancements will be done to optimize functionality.

 

   
 
 
 

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