The Conference for Machine Learning Innovation

Using A.I to make recommendations for career progression

Session
Join the ML Revolution!
Register until the conference starts:
✓ 50% off on all prices
✓ 10% team discount
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Join the ML Revolution!
Register until the conference starts:
✓ 50% off on all prices
✓ 10% team discount
Register Now
Join the ML Revolution!
Register until November 4:
✓ 2 in 1 conference special
✓ Save up to €220
✓ 10 % Team Discount
Register Now
Join the ML Revolution!
Register until November 4:
✓ 2 in 1 conference special
✓ Save up to €220
✓ 10 % Team Discount
Register Now
Join the ML Revolution!
Register until the conference starts:
✓ 2-in-1 conference special
✓ 10 % Team Discount
Register Now
Join the ML Revolution!
Register until the conference starts:
✓ 2-in-1 conference special
✓ 10 % Team Discount
Register Now
Infos
Wednesday, December 8 2021
10:15 - 11:00

Despite the wealth of information available to job seekers, choosing careers and transitioning
between jobs remain somewhat random. With thousands of job titles available, it is difficult
for candidates to know what each role entitles and how well-suited they are for various
positions.
Our research aims to break though this complexity and identify the most fitting careers for
every job. To this end, we combine an exhaustive occupational dataset with multivariate
matching algorithms. These algorithms account for the semantic similarity between job
descriptions and for the overlap in the skills required by different jobs.
We find that a significant number of careers lie outside the field in which candidates currently
operate. Furthermore, we define a degree of specialization and use this to quantify the
number of paths open to every job. Finally, we cluster jobs and skills to reduce career map
complexity and obtain several insights related to career progression.

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This Session belongs to the Diese Session gehört zum Programm vom BerlinBerlin program. Take me to the program of . Hier geht es zum Programm von Munich Munich .

This Session Diese Session belongs to the gehört zum Programm von BerlinBerlin program. Take me to the current program of . Hier geht es zum aktuellen Programm von Singapore Singapore , Berlin Berlin or oder Munich Munich .

Behind the Tracks