information, attention, and trust: a hierarchy of needs

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Presented by Daniel Tunkelang, LinkedIn Director of Data Science, at Stanford's 2nd annual conference on Computational Social Science (CSS), hosted by Institute for Research in the Social Sciences (IRiSS). Details at https://iriss.stanford.edu/css/conference-agenda-2013

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Recruiting Solutions Recruiting Solutions Recruiting Solutions

Information, Attention, and Trust: A Hierarchy of Needs

Daniel Tunkelang Director of Data Science, LinkedIn

Daniel

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IRiSS 2013 Conference on Computational Social Science Stanford University - January 11, 2013

Maslow’s Hierarchy of Needs

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What about our Information Needs?

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A Hierarchy of Needs for the Digital Age

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Trust

Attention

Information

How to Satisfy Our Needs

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make information accessible allocate attention efficiently establish a network of trust

How does LinkedIn help?

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make information accessible allocate attention efficiently establish a network of trust

Information Access: Professional Identity

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Information Access: Findability

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Information Access: Insights

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Top companies:

employees came from: Yahoo! (248). Google (148), Microsoft (110), Oracle (104), IBM (70), …

Access to Professional Information

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professional identity of record findable through standardized facets aggregated to derive insights

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make information accessible allocate attention efficiently establish a network of trust

Allocating Attention: Search Relevance

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Allocating Attention: Industry News

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Allocating Attention: Recommendations

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Similar Profiles

People You May Know

Allocating Professional Attention

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personalized contextual relevance aggregate social information as signal identity + activity -> recommendations

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make information accessible allocate attention efficiently establish a network of trust

Network of Trust: Social Referral

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Suggest based on connection strength and relevance to target user.

2x conversion!

[Amin et al, 2012]

Network of Trust: Social Proof

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Network of Trust: Skill Ranking

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Building a Professional Network of Trust

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critical mass of meaningful connections use relationships across entity types algorithms + people = success

Summary

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make information accessible allocate attention efficiently establish a network of trust

Some Open Problems

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2 4 8

17

32

55

90

2004 2005 2006 2007 2008 2009 2010 2011 LinkedIn Members (Millions)

200M+

25th Most visit website worldwide (Comscore 6-12)

Company pages

>2.6M

63% non U.S.

2/sec

85% Fortune 100 Companies use LinkedIn to hire

Thank you!

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