SlideShare a Scribd company logo
what does duane do at bing
Bing Webmaster Tools
Speaks at shows, runs forums and blog,
provides guidance on new WM tools
www.bing.com/toolbox/webmasters

Does he have a clue?
15 years as an inhouse SEO; ran seo at MSN;
has helped GM, Disney, GAP, Walmart +
http://www.linkedin.com/in/dforrester

@duaneforrester

And this helps me how?
Blogging since 2001; owns 150 domains;
runs several websites of his own
http://twitter.com/DuaneForrester
Content

Social

User Experience

Link Building

SEO
To crawl a URL costs roughly a penny…a little less, in fact
There are over a trillion pages online, from ~ 700 million sites
We need to crawl them all to see if they’re worth indexing

REAL-TIME

DEVICES

SOCIAL

PLATFORMS

LOCAL & MOBILE COMMERCE

SERVICES

6
Reorganize the Web for Task
Completion

UNDERSTANDING
THE USER

UNDERSTANDING
THE WEB
Reinventing Search Across 3
Dimensions
Information
Architecture

Creation of new
information via social
graph and geospatial
index

Interaction Model
Not just mouse and
keyboard, but also
voice, touch, gesture &
vision

Entry Points
Not just browser, but
devices, services and
social networks
• Build social followers & fans
organically
• Wall posts/tweets with links
are perceived as more
credible and useful
• Get the basics of SEO
covered, then focus on
content
• Its worth repeating:
unique, compelling content
still works
•

So you want more shares for your content, do you?
Try these ideas.
•

Create lists: people love to consume content in
list-form. Its quick, easy and simple.

•

Use hooks: ego, humor, anger, contrarian – be
careful with them, but when used well, they are
highly effective.

•

Participate in communities: when you are
valued member of a community, the community
supports you.

•

Share others’ information: people love when
what they share gets shared itself. Share from
trusted sources.

•

Ask questions: your followers will love the
interaction and it’ll grow your following as
others engage.
Rising Expectations
Constraints, Opportunities
Schema.org and Other
Languages
Core Strategies

Op. Strategies

Tactics
AUTOMATED

Trusted RSS feeds

MANUAL

Copy & Paste

AUTOMATED
www.bing.com/webmaster

www.hootsuite.com
tapbots.com/software/tweetbot/
www.echofon.com/
statigr.am/
inst.me/

www.curalate.com/
www.evernote.com
www.ifttt.com
www.trackur.com
www.sprinklr.com/
www.visibletechnologies.com/
www.socialmention.com
mehdoh.com/
http://elastic.io/abou
t.html

•

https://zapier.com/#

•

Zapier is more user friendly
than IFTTT, though IFTTT
has better channel choices.
http://socialmediatoday.com/julieblakley/1516266/7-brands-gettingcreative-vine
Alexa.com
Board Reader
Sysomos
Facebook Insights
Follower Wonk
Google Insights
How Sociable
Ice Rocket trends
Buffer

•
•
•
•
•
•
•
•
•

Klout
Peerindex
Kred
Mention Map
Social Mention
Statigram
Twitter Counter
Tweetreach
Visual.ly
Pubcon Vegas '13 - The Web of Things
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Pubcon Vegas '13 - The Web of Things

Editor's Notes

  1. 9 billion to 25 billion in the next 8 years
  2. Exponential scaleMichioKaku – physicist – humans think in linear scales, but in reality it advances exponentially.
  3. Bing is stitching together the pieces of the digital web to reassemble them into coherent objects.  (iotw, an airplane has thousands of characteristics, but those characteristics are spread out on sites across the web.  Some sites might have the plane’s length, another has the seating capability, another has safety record.)  The challenge is to scour each of these sites, understand they are talking about the same plane, and ‘rebuild’ the physical object in digital so Bing can understand what it is, and what it can be used for.  (For slide help: imagine you want to know the largest aircraft with the fewest engine failures, with the above scenario, Bing could do it). ·         Bing has 6 Billion facts, 28 Billion entities, and growing very rapidly·         For people, we have the largest collection 1.2Billion.·         For places such as US restaurant alone, we already have 1.1mm entities·         For things like Movie, we have over 800K entities with very rich information.·         This information fabric is the connective tissues for our devices to seamlessly connect to the people, places, and things that our users care about.    For search, this is a major accomplishment.  But it isn’t enough.  People are trying to do more things with more things.
  4. In addition to the three parts of the platform I talked about, there are other areas we are working on to make interacting with our expert systems and devices more seamless. ·         Deep Neural Networks for speech and vision·         Advances in semantic understanding (critical for entity understanding); advances in resource/reward allocations·         Sensors to give devices the ability to better understand their situations and provide assistance when needed.
  5. The above scenario will be enabled through two things:·         Powerful Bing (understands the world, the realtionships, and actions0·         Increased sensors on all devices, connected to the webo    Examples: Streetline (parking automation), home automation and intelligence (SmartThings), medical devices (Scanadu), cars (Tesla Model S), GE systems (Predictivity)
  6. ·         All these signals on a common TCP/IP transport – what is a machine to do?·         Need a Babelfish
  7. Refer to this article for more details on each item in the list: http://prdaily.com/Main/Articles/10711.aspx The list on that page is older – I’ve removed dead links and added a couple new ones to this current list.