As VP of Global Services Strategy, Matt
focuses on the edges of CareerBuilder’s
products, ensuring that they drive recruiter
efficiency by integrating well with each
other and with the tools recruiters use daily.
His 12 years of experience in the
recruitment space has made him passionate
about applying data science, running high
scale microservices, and bringing it all
together into a recruiter friendly sourcing
Rob Houser, Senior Director of UX, has
worked in the field of user experience for
25 years with companies such as NCR
Corporation (Retail Solutions) and Sage
Software (Accounting/ERP, Payroll, and
HCRM software). Rob manages a team of
user researchers, interaction designers, and
visual designers who work on
CareerBuilder’s software products.
What is Automation?
Automation is the use of various
control systems to move manual
operations or those done by
humans to processes that require
minimal or reduced human
What is Machine Learning?
Machine Learning is a current
application of AI based around the
idea that we should really just be
able to give machines access to
data and let them learn for
What is Artificial Intelligence?
Artificial Intelligence is the broader
concept of machines being able to
carry out tasks in a way that we
would consider “smart”.
What is a Knowledge Graph?
The Knowledge Graph is
a knowledge base used by Google to
enhance its search engine's search
results with semantic-search
information gathered from a wide
variety of sources.
What is a Deep Learning?
Deep learning (also known as deep
structured learning or hierarchical learning)
is the application of artificial neural
networks (ANNs) to learning tasks that
contain more than one hidden layer. Deep
learning is part of a broader family
of machine learning methods based
on learning data representations, as
opposed to task-specific algorithms.
What is a Unified Taxonomy?
Taxonomic data form a substantial, but
scattered, resource. The alternative to such
a fragmented system is a 'unitary' one of
preferred, consensual classifications. For
effective access and distribution the (Web)
revision for a given taxon would be
established at a single Internet site.
Yun Zhu is the Lead Data Scientist of Applied
Machine Learning team at CareerBuilder.
His team builds the underlying machine
learning models that CareerBuilder
products rely on.
Khalifeh Al Jadda is the lead data scientist
on the Search Data Science Team. He has
experience implementing large scale,
distributed machine learning algorithms to
solve challenging problems in domains
ranging from Bioinformatics to search and
recommendation engines. He leads the data
science projects to improve search
relevancy and build a new recommendation
engine leveraging AI, Machine Learning, and
Big Data frameworks.
Founder and CEO of Textkernel (2001). Since 2015
part of CareerBuilder group. Leads team of 110
people, most tech experts. R&D background in AI,
Machine Learning & NLP since 1990.
Born in Prague, lives in Amsterdam, married, 2
teenage daughters. Eclectic music tastes.
Semantic Recruitment / Labour Market Analysis /
Natural Language Processing / Machine Learning /
Search & Match / Enterprise Software
What is Semantic Search?
Semantic Search & Match. Why?
More relevant candidates, faster!
1. More candidates: Expanding words to concepts
No guessing what candidate wrote in the resume
2. Relevant candidates: Better filtering and ranking
Avoid wrong matches by understanding context
3. Work faster
- Start working on the most promising candidates first
- Be a great searcher without advanced Boolean search
- Use documents (jobs, resumes) to start automated searches
A twoword user query
= 35+ system query
3 Elements of Semantic Search
➔CV & job parsing
from a large set
➔Learning to Rank
The job is
converted into a
.. and matched to the
candidates in your
... and vice versa!
Semantic Expansion Example