Patent №
US 6,567,784
Granted
2003-05-20
Filed 1999
Owner
EWORK EXCHANGE, INC.
+5 more
Lab
—
AI components
3
kr · planning · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
09325620
A method of matching projects and workers using both both mandatory, or binary, characteristics and quantitative characteristics is described. The projects and workers have a number of characteristics that are symmetric. For example, the project has an activity characteristic that defines what is to be done and the worker has an activity characteristic describing what she/he wants to do. Project creators and workers can request matching workers and projects, respectively. The matching process itself occurs in two stages. In the first stage, the mandatory characteristics are considered. Only workers, or projects, meeting the mandatory characteristics are selected for further evaluation at the next stage. At the second stage, the quantitative characteristics are evaluated for the workers, or projects. The result is a subset of the total number of workers, or projects, matching the project criterion, or worker needs, ranked based on the quantitative characteristics.
AI classification
Ownership
EWORK EXCHANGE, INC.
assignment · 101290486
SILICON VALLEY BANK
assignment · 114520468
ECOMPANIES VENTURE GROUP, L.P.
correct · 139120931
EWORK E (ASSIGNMENT FOR THE BENEFIT OF CREDITORS), LLC
assignment · 202060584
100 SPEARS, LLC F.K.A. SPEAR STREET ACQUISITION LLC
assignment · 202540681
APC WORKFORCE SOLUTIONS LLC D/B/A ZEROCHAOS
assignment · 233550553
Assignors
BUKOW, HANS MAX THEODORE
On an employer assignment, the assignors are typically the inventors.