Loading presentation...

Present Remotely

Send the link below via email or IM

Copy

Present to your audience

Start remote presentation

  • Invited audience members will follow you as you navigate and present
  • People invited to a presentation do not need a Prezi account
  • This link expires 10 minutes after you close the presentation
  • A maximum of 30 users can follow your presentation
  • Learn more about this feature in our knowledge base article

Do you really want to delete this prezi?

Neither you, nor the coeditors you shared it with will be able to recover it again.

DeleteCancel

Make your likes visible on Facebook?

Connect your Facebook account to Prezi and let your likes appear on your timeline.
You can change this under Settings & Account at any time.

No, thanks

Finding Career Paths

No description
by

ruby childs

on 31 March 2014

Comments (0)

Please log in to add your comment.

Report abuse

Transcript of Finding Career Paths

The Problem
Understanding in Mass
Company path
Organisation of Data
Finding Career Paths
By Ruby Childs
Cleaning Data
Neo4J
Dijisktra
What job do you do now?

What job/education have you done?

What job do you want to have?
Aim:
To predict possible career moves
of a jobseeker, from title, education and company
Jobseeker Experience
- Relational DB, MySQL

Company Names

Extensive project of cleaning company names
Removal of country, locations whilst keeping in mind 'Bank of China' for example
Manual processing
Graph Database
Nodes and edges to represent relationships
Most common in Social Networks
Implemented in Java
Add nodes: company entities
Add relationships (edges):
worked_at, progressed_to
Add number of jobseekers for edge weighting
Path with lowest cost from Node A to B
but we want highest cost for jobseekers.....
Solution: Invert weights: 1/no_jobseekers
Career Paths
Reverse inversion for each path
Worked at
Progressed to
weight: no of jobseekers
weight: no of jobseekers
Full transcript