How semantic search changes recruitment - Glen Cathey

How Semantic Search Changes Recruitment

Glen Cathey

SVP Talent Acquisition Strategy and Innovation

Kforce

The Challenge

Glen Cathey | #Intelligence16

A company's employees are its greatest asset and

your people are your product.

Sir Richard Branson, Founder of Virgin Group


I am convinced that

nothing we do is more important than hiring

and developing people. At the end of

the day you bet on people, not on

strategies.

- Lawrence Bossidy, former COO GE, CEO AlliedSignal/Honeywell


Source: Indeed Inbound Recruiting eBook - http://bit.ly/1QoCPMP

Inbound vs. Outbound


http://bit.ly/1QoCPMP

http://bit.ly/1QoCPMP

Source: The Day Recruiting Died - http://bit.ly/24dwzKR

Recruiting Industry - Died peacefully in its sleep. Lived a wondrous life, creating and filling jobs, inspiring technology and building incredible wealth for many. A true trailblazer. Recruiting Industry was preceded in death by fax machine, land line, yellow and white pages, Rolodex, job board, job posting and ATS. Recruiting Industry is survived by its loving spouse Digital Marketing; children CRM, Social Media, Employment Branding; grandchildren TRM, talent communities, virtual reality and dynamic content. In lieu of flowers please send donations for digital marketing training to recruiters everywhere.


http://bit.ly/24dwzKR

How Likely Is Digital Marketing Going to Work?

Job Seeking Status

Highly Likely

Somewhat

Likely

Unlikely

Highly Unlikely


Lou Adler - The Recruiting Industry is Facing an Existential Threat: http://bit.ly/1X2Jiht

A surplus of talent model designed to weed out the weak will not work when a

surplus of talent doesn't exist.

Depending on function and demand, 80-90% of all

candidates are not looking to change jobs. Regardless,

companies spend more time trying to hire the other 10-20%

more efficiently.


http://bit.ly/1X2Jiht



Recruiters are often handling too many requisitions

preventing them from performing outbound recruiting Glen Cathey | #Intelligence16





The value of human capital data is directly proportional to the ability to quickly, easily and precisely retrieve people

who have a high probability of being the right match

Glen Cathey | #Intelligence16 Yale University Beinecke Library - http://bit.ly/20DUHUm

http://bit.ly/20DUHUm

http://bit.ly/20DUHUm




If you do not know how to ask the right question, you discover nothing.

W. Edwards Deming,

Engineer, statistician, professor, author, lecturer, and management

consultant.


Source: YouTube | Google Analytics in Real Life – Site Search: http://bit.ly/1mRxOw7 Glen Cathey | #Intelligence16

http://bit.ly/1mRxOw7

http://bit.ly/1mRxOw7

UGC Challenges • Job seekers are NOT professional CV writers

• Most people still believe 1 page CV's are best

• Very few people mention every skill, environment or technology they have experience with

• There are many ways of expressing the same skills and experience

• Employers often don’t use the same job titles for the same job functions

• Candidates don’t create their resumes thinking how you will search for them

• Sometimes candidates and employers don’t even use correct terminology


• Both Kinds

• Blind person

20%

80%

Viewed Unviewed

Where are the "best candidates?

Existential Threat

Photo: "COSMOS 3D dark matter map" by NASA/ESA/Richard Massey Glen Cathey | #Intelligence16

1. Keyword Search

2. Conceptual Search

3. Implicit Search

4. Natural Language/Semantic Search

5. Indirect Search

Presented at SourceCon 2010 DC – 5 Levels of Talent Mining: http://bit.ly/1QSZqeS

Talent Mining Manual text mining of CV's, social & online content…


http://bit.ly/1QSZqeS

Should we expect recruiters to be information retrieval experts?


Image: Duncan Hull - http://bit.ly/1sNoQ9s


http://bit.ly/1sNoQ9s

http://bit.ly/1sNoQ9s

Search in the last decade has

moved from give me what I

said to give me what I want.

Amit Singhal Former SVP | Google Fellow |

Head of Google Search

http://bit.ly/1TQK1g7




• Automation of manual search/research processes

• Increased inclusion

• Exploitation/exploration of Dark Matter

• Speed of relevant candidate identification

Impact of Semantic Search in Recruitment


A 3 word user query = 60+ word system query

Automation


Sales ("sales manager" OR "account specialist" OR "account manager" OR "account executive" OR "sales consultant" OR "sales engineer" OR "sales rep" OR "sales representative" OR "sales professional" OR "sales executive" OR "sales leader" OR "business development")

Top Performer (winner OR "president's club" OR "of the year" OR highest OR most OR platinum OR presidents OR top OR exceeded OR exceeding OR award OR awards OR awarded OR "top sales" OR "top account" OR ranked OR achieved OR "quarter" or "top producer" OR "top producers" OR "sales records" OR won OR winner)

Substation (arcflash OR "arc Flash" OR grid OR transmission OR "power station" OR "power stations" OR "P&C" OR CDEGS OR "Protective Relays" OR "Load Flow" OR "IEC 61850" OR "Transmission Lines" OR MVA OR "Motor Starting" OR Earthing OR "Power Flow" OR "Power System" OR PLS-CADD OR ETAP OR "Single Line Diagrams" OR CYME OR EasyPower")

Hadoop (Hadoop OR MapReduce OR MapR OR HDFS OR Pig OR Hive OR HortonWorks OR Yarn OR ZooKeeper OR Hbase OR Cassandra OR Ambari OR Tez OR Mahout OR Cloudera OR Spark OR Avro OR Chukwa)

Increased Inclusion


0

1

2

3

4

5

6

SourceCV DB w/Semantic Search CV DatabaseLinkedIn SocialInternet Research Cold CallingJob Posting Referrals

# o

f C

lose

ly M

atch

ed

Can

did

ates

Per

Ho

ur

(x1

0)

Speed of Identification


Impact of Semantic Search in Recruitment


• Recruiters can learn from "white box" solutions

• Lessens need for recruiters to be search experts to effectively leverage the ever-increasing volume of human capital data

• Enables recruiters with heavy req loads to perform outbound recruiting, leveraging the deep end of the talent pool

"A search engine cannot reliably surmise the user's intent from a single query."

Daniel Tunkelang • Fomer Data Scientist | Head of Query

Understanding at LinkedIn

• Former Tech Lead at Google, Chief Scientist

at Endeca



Related vs. Relevant

Source: Merriam-Webster: http://bit.ly/27q0d22 Glen Cathey | #Intelligence16

http://bit.ly/27q0d22

http://bit.ly/27q0d22


Human–computer information retrieval (HCIR) is the study of information retrieval techniques that bring human intelligence into the search process by taking into account the human context, or through a multi-step search process that provides the opportunity for human feedback.

"HCIR aims to empower people to explore large-scale information bases but demands that people also take responsibility for this control by expending cognitive and physical energy." – Gary Marchionini

HCIR

Glen Cathey | #Intelligence16 Source: Wikipedia: http://bit.ly/1YXvrYJ

http://bit.ly/1YXvrYJ

http://bit.ly/1YXvrYJ


Improved Understanding EMC Resident

Provisioned storage for multi-vendor hosts environment from VMAX-1, VMAX 20K, VMAX 40K, and VMAX3 (400K) enterprise storage arrays using Solutions Enabler Command Line Interface and SMC/Unisphere on Cisco MDS 9513 switches with DCNM and Cisco CLI.

Performed the initial testing of SRDF/A connection set up between Production site in Windsor, CT and Test/DR site in Lithia Springs, GA.

Headed customer’s vBlock SRDF implementation project from SAN side of the network on the existing SRDF infrastructure that used FCIP tunneling through MDS 9222i switches at each side.

Performed multi-terabytes of SRDF based migrations for multi-host environment from one VMAX to another within and across data centers.

Managed and provisioned SRDF based Replicated Storage between Windsor, CT and Lithia Springs, GA including creation and managing of corresponding target Clone devices.

Delivered on knowledge transfer to customer regarding EMC SAN administration using EMC best practices. Occasionally trained customer team members through WebEx or by providing sets of instructions and symcli commands through emails.

Managed and provided day-to-day SAN support including usual troubleshooting in SAN environment related to EMC Storage Arrays, CISCO switches, and connected hosts.

Documented the VMAX allocations on weekly basis by creating interactive spreadsheets for customer. The details included the storage tickets information, total storage allocated from VMAX’s with an automatic breakdown of storage scoping the individual sites and each VMAX array with or without SRDF replication.


Improved Understanding

SAN Engineer

I designed, developed and tested numerous storage solutions utilizing Network Appliance and EMC products for the largest enterprise active directory environment in the world (NMCI).

Architected and deployed a highly scalable IaaS cloud solution for a 1000+ virtual machine Test/Development environment using VMware vCloud Director. Provided subject matter expertise to consult the client in leveraging a Hybrid cloud solution. Provided subject matter expertise, consulting and leadership to upper management for the architecture, design, and implementation of a multisite Next Generation Datacenter and services. Attended leadership meetings and brief senior management on strategy and phases of the project. Spearheaded the entire virtualization effort.

Improved Understanding


Beyond keywords - searching for what people have done

Noun/Verb Search

(SAP OR SD) NEAR (implement* OR config*)


Natural Language Queries


Natural Language Queries


• Futuristic recruiter image



Recruiting & HR

How semantic search changes recruitment - Glen Cathey