Downloaded 19 times
Uploaded byEcom Digital
Jobboard Technology Trends
The document discusses trends in jobboard technology, including the evolution from Jobboard 0.0 to 3.0. It notes that past jobboards lacked semantics and meaningful matching, but that new technologies now allow for semantic matching based on implicit meanings and linking of information across profiles and media. This enables more relevant and higher quality searches and matches between candidates and jobs.
Jobboard Technology Trends
- 1. Actonomy Jobboard technology trends: semantic technology & matching
- 2. Trends in Jobboardtechnology (recruiting) • Mobile, tablets • Apps as entry point • Big Data and next-generation Analytics • Video • Semantics • Matching • Social media
- 3.
- 4. Jobboard 0.0 • Nosemantics – non relevant searches • The famous ‘manager’ agents. • Limited information to be searched
- 5.
- 6. Jobboard 1.0 • Theoverstructuring of information : too many search fields and too many selection lists. • The engineering driven matching : weights, weights and weights. • ‘how to make good candidates afraid’
- 7.
- 8. Jobboard 2.0 • What– where boxes….. Semantics? • Matching but limited criteria – no meaning • Easy registration – upload, parse get found • Semantics? Do the ‘business developer’ test !
- 9.
- 10. Jobboard 3.0 • Fasterand better – more relevant • Faster and better – good quality • Faster and better - fragmented view over the internet.
- 11. Surprising terminology • 0.0,1.0, 2.0 …. Semantics was always used… • Matching, the magic word with thousands of misleading meanings… • ‘Nearly’ …..technology promise.
- 12. What does semanticsreally mean? • Semantics is all about meaning and context : more than structuring in work experience, skills etc… And…. more than large sets of taxonomies… • Interpreting information and adding meta data – latent/implicit information. • More than the traditional hard criteria. • Meaningful links to other information
- 13. Why semantic matching: drivers? • New generation candidates: more than only jobtitles. • myskills, mytalent, mypreferences,… • More relevant information available in richer candidate profiles – unstructured! • Recruiters see their added value as ‘more than searching’
- 14. Why semantic matchingworks (now)! • No longer 5 criteria with weights… • No longer a trigger on words (such as jobtitles) but also on related words in their context e.g. ‘graphik designer’ and ‘graphics’ • Implicit information part of the matching model. • Broader view on the candidate’s profile
- 15. The matching –internet world History : CV • Candidate profile : patchwork of partial views on me, on different media. Talent : …… My total Professional : LinkedIN • Linking information of profile profiles across the different media. Personal : Facebook,… • Linking history with interest
- 16. It will happen! • Better profiles, more information and spread across the internet = increased need to ‘search faster’ – match! • Candidates know better what they want. • Technology now really ‘understands’….