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Exploring a Sca!able Rule Based Architecture in Semantic Matching
The on-line dating industry currently has over 1400 different sites, including known sites such
as eHarmony, Match.com and LavaLife, however, research indicates a general
dissatisfaction in the quality of relationship matches generated by these sites. The research
proposal will investigate the use of rule based semantic technologies in providing accurate
and higher quality matching service. The commercial partner, Atwood Technology Inc., is
expecting to leverage this technology to gain a competitive edge over the existing
competition.
Faculty Supervisor:
Kenneth Kent
Student:
Partner:
Atwood Technology Inc
Discipline:
Computer science
Sector:
Information and cultural industries
University:
University of New Brunswick
Program:
Accelerate
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