Download - Skills, Reputation, and Search

Skills, Reputation, and Search

Pete SkomorochPrincipal Data Scientist, LinkedIn

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Vision: Create Economic Opportunity for Every Professional

TimeLocation

©2012 LinkedIn Corporation. All Rights Reserved.

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LinkedIn: The Professional Profile of Record

200+MMembers 200M MemberProfiles

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LinkedIn Search: Connecting Talent with Opportunity

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Skills Correlated with the Job Title “Data Scientist”

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Skills Related to “Big Data”

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Information Retrieval

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Soul Retrieval

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Lucene on LinkedIn

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Lucene Endorsement Graph

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Solr on LinkedIn

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Solr Endorsement Graph

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Reputation: Building the Endorsement Graph

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Viral Growth: 1 Billion Endorsements in 5 Months

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How Did We Gather this Data?

1. Desire + Social Proof

2. Viral Loops + Network Effects

3. Data Foundation + Recommendation Algorithms

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1) Desire & Social Proof

A endorses

B

B notified

B “accepts” endorsement

B endorses

C

B endorses

D

Endorsement recommendations

Email NotificationNews Feed2) Viral Loops & Network Effects

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3) Data Foundation: Skills & Suggested Skills

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Data Foundation: LinkedIn Skills

Social Tagging Accelerates Adoption

Suggested endorsements

Skill recommendations

Skill marketing

©2012 LinkedIn Cororation. All Rights Reserved.

Virality only

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Outline

Skill discovery

Skill tagging



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Skill Discovery: Unsupervised Topics from Profiles

Extract

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Topic Clustering & Phrase Sense Disambiguation

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Deduplication Signals from Mechanical Turk

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Sample Task for Mechanical Turk Workers

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Skill Phrase Deduplication

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Outline

Skill discovery

Skill tagging



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Lead designer and engineer for the implementation of a user-centric, fully-configurable UI for data aggregation and reporting.Developed over 20 SaaS custom applications using Python, Javascript and RoR.

Tagging Skill Phrases

Tagging: Extract potential skill phrases from text

Standardize unambiguous phrase variants

JavaScript RoR SaaS Python

ror

rubyonrails

ruby on rails development

ruby rails

ruby on rail

Ruby on Rails

Document (ex: Profile)

Tokenization

Skills Tagger

Phrases

(up to 6 words)

Skills Classifier

Skills

(unordered)

Skills

(ranked by relevance)

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Outline

Skill discovery

Skill tagging



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Skill Inference

How suggested/inferred skills work:

– The skill likelihood is a conditional model

– Probabilities are combined using a Naïve Bayes Classifier

If you are an engineer at Apple, you probably know about iPhone Development.

Profile

Extract attributes

- Company ID

- Title ID

- Groups ID

- Industry ID

- …

Skills Classifier

Skills

(ranked by likelihood)

Feature

Vectors

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Skill Recommendations for Your LinkedIn Profile

49% Conversion

4% Conversion

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Outline

Skill discovery

Skill tagging



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Social Tagging via Skill Endorsements

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Data Amplifies Desire

1. Desire + Social Proof

2. Viral Loops + Network Effects

3. Data Catalyst + Recommendation Algorithms

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Over 58 Million Profiles are now Tagged with Skills

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All This Data Flows Back Into Our Lucene Index

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Helping us Connect Talent & Opportunity

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CONTACTPete Skomoroch@peteskomoroch

http://data.linkedin.com

Download - Skills, Reputation, and Search

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