WEB3.0 “THIS TIME IT’S PERSONAL ” Web 3.0 & The Future of Social Media Forum
Nov 01, 2014
WEB3.0 “THIS TIME IT’S PERSONAL”
Web 3.0 & The Future of Social Media Forum
January 2011 Ozmota Inc. Proprietary and Confidential 2
Matthew KappCEO & Co Founder OzmotaEmail: [email protected]
OzMota™The Web Made Personal ™
AGENDA
• The “What the....” phenomena?
• The evolution of the Web
• Social Media 1.0
• Web 3.0 and the Personalised Web
• A little about Ozmota
• Q&A
3Ozmota Inc - "the web made personal"™June 2011
What the ......?
• Facebook: What’s on your mind?
• Twitter: What are you doing now?
• Foursquare: Where are you now?
• Instagram: What are you seeing now?
• last.fm: What are you listening to now?
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THE EVOLUTION OF THE WEB
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WEB 1.0
Noise
The web as an information portal
circa 1990 to 2005
“The age of email, directories & search”
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WEB 1.0 = Content + Commerce
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WEB 2.0
Noise
The Web as a Platform
“The age of social media”
circa 2006 to now
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WEB 2.0 = Content + Commerce +Community
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WEB 2.0 = Content + Commerce +Community
WEB
1.0
“From a directory taxonomy to a social folksonomy”
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SOCIAL MEDIA
• Leverages the social graph to allow user’s to share content and communicate
• The social graph provides viral opportunities
• This gives each user their own brand & reputation
• Unbelievable experiences and value has been unlocked
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WEB 2.0 ACHILLES HEEL
• WEB 2.0 platforms are brilliant in facilitating content generation, in fact they are too good, with content creation continuing to accelerate
35hrs of video uploaded every minute1 140 million tweets per day2
30 billion pieces of content shared each month3
1: http://www.youtube.com/t/press_statistics2: http://blog.twitter.com/2011/03/numbers.html
3: http://www.facebook.com/press/info.php?statistics
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A person’s web experience is flooded
INFORMATION OVERLOAD
Source: The Conversation Prism (http://www.theconversationprism.com/) 13Ozmota Inc - "the web made personal"™June 2011
WE ARE GETTING FLOODED WITH INFORMATION
• More information
• More social media
• More platforms
• More connections
• More mobility
• More real-time
Source: http://www.flickr.com/photos/25031050@N06/3292307605/sizes/m/in/photostream/
MORE DISTRACTIONS = LESS ATTENTION14Ozmota Inc - "the web made personal"™June 2011
“We pay continuous partial attention in an effort NOT TO MISS ANYTHING.”
Linda Stone (former VP Microsoft)
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A WAY FORWARD
• To truly harness the power of the social graph, we need more than a platform that connects us with everyone we know......
• We need– Reduction in noise
– Prioritisation of content
– Individualisation of content
– Implicit learning models (behaviour)
– Context
– Serendipitous discovery
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WEB EVOLUTION
Volume of InformationHigh VolumeLow Volume
Sign
al t
o N
ois
e R
atio
Hig
h N
ois
eH
igh
Sig
nal
Their Web1990 - 2005
Social Web2006 - 2011
Personal Web2011 -
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WEB 3.0 = Content + Commerce +Community +Context +Personalisation
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WEB 3.0 = Content + Commerce +Community +Context +Personalisation
WEB
2.0
“Web 3.0 is not a separate Web, but an extension of the current one, in which information is given well-
defined meaning and context”19Ozmota Inc - "the web made personal"™June 2011
SIGNIFICANCE OF WEB 3.0
• Personalised Web– my view of the web shaped for me– focused on the individual
• Contextual Discovery– information organisation
• “me-onomy”– the context is me!
• Autonomous Search– machine surfing
• Pull business models– No longer one-way push by brands
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WHAT DOES WEB3.0 NEED TO BE?
• What will be the next big trend on the Internet after “search” of Google and “social” of Facebook
• Answers– Mobile
– Influence
– Connecting business to clients dynamically
– Personalization
– Bridging online and offline interactions
– Social Discovery
– Connecting people through the Interest Graph
Source: http://www.quora.com/What-will-be-the-next-big-trend-on-the-Internet-after-search-of-Google-and-social-of-Facebook
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CONTEXT
• The circumstances in which an event occurs; a setting
• Context is important because it can
– provide the context of the content in relation to me
– refer to why content is relevant
– refer to the device that is accessing the content
– refer the location of where the content originated, described or where I am
– refer to the relationship between me and the information
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CONTEXT HELPS PERSONALISATION
• Context advances Web 2.0 towards Web 3.0
• When machines can understand the context of content, and of a user, the web can better satisfy a user’s needs
• Context helps enable personalisation, but there is more needed……..
How do we dynamically represent a user’s interests?
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INTEREST GRAPH
• The interest graph is an online representation of individuals’ interests
• Combined with context, it allows us to float relevant content in front of a user’s attention
• Some people consider this the middle ground between search, advertising and the social graph
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WEB GORILLAS ARE VYING FOR POSITION
“The notion of autonomous search – to tell me things I didn’t know but am probably interested in – is the next great stage of search”
Eric Schmidt, Google
“With 100 million tweets flowing through the system on a daily basis, there’s something for everyone, but the real challenge is finding the
most valuable stuff for you”Evan Williams, Twitter
“With a normal website, your technology is focused on caching. But Facebook is completely personalized. Every time you visit, you get a
unique personal experience”Bret Taylor, Facebook
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THE INTEREST GRAPH
• The interest graph provides a new way to discover content & people with similar tastes to yours
• It is the new way to get from both within, and beyond, your social graph, the content that will interest you personally
• It forms a network of people who share interests with you, but who you don’t necessarily know a connection within the social graph
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THE INTEREST GRAPH
• The interest graph introduces a new challenge and opportunity for brands to communicate their messages to those people that will genuinely be interested in what they have to say
“The interest graph promises to deliver marketers messages to those that are, or
should be interested”
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28Ozmota Inc - "the web made personal"™June 2011
APPROACHES TO PERSONALISATION
Adapts due to community feedback to surface “interesting” items.Often guided due to popularity, trending topics or demographics.
Adapts to the individual based on natural activity through the system. With more use, the predictive behaviour improves.
Driven by individual and community feedback through voting, stars, ratings, likes, and keyword preferences.
Adapts to your selected interests and responds to direct inputs to the system through voting and chosen criteria.
Collaborative / Social Individual Behaviour
Imp
licit
Fee
db
ack
Exp
licit
Fee
db
ack
Adapted from “The Third Wave of the Web: Personalization of Streams” by Louis Gray 29Ozmota Inc - "the web made personal"™June 2011
Communicate
Socialise
CurateTransact
Discover
Social Graph
BehaviourInterest
Graph
WEB PERSONALISATION
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THE PERSONALISED WEB
A paradigm shift in “Serving our Attention”
Quantum Choice Personal Footprint
Atomised Data Web
Collective Attention Intelligent Service
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Markets for One
“The power shift of the semantic web will give all customers – whether individuals or institutions – the tools to pull information whenever,
wherever, and however they want it”
David Siegel (Author “Pull” The Power of the Semantic Web to Transform Your Business)
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KEY POINTS
• Personalised web will be very relevant, and very dynamic
• Marketeers must create content that can travel through the interest graph
• The intelligence must be embedded, or discoverable within the content– Context and advanced metadata
• Sites and applications must deliver on-demand, interest focused content for socialisation on the web
• How this content moves through the web will be fundamentally outside of content providers control
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KEY POINTS
• The potential of harnessing this data will become invaluable for brands, so marketers will be using the power of the data in the near future to their advantage
• When brands create content, they will also need to define the context that links the content to the interest graph
• Marketers will have the ability to take this personalised data to drill down to find their core customer accurately
• To further specialise from the monolithic Interest Graph into Taste Graphs, Financial Graphs, Local Network Graphs etc. through implicit graph definitions
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KEY CHALLENGES
• Web-scale interest (human like) ranking engines
• Artificial intelligence
• Machine learning
• Content categorisation
• Linking it all together
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NEED NEW HUMAN LIKE ALGORITHMS
June 2011 Ozmota Inc - "the web made personal"™ 36
person
songbook
person
article
technology
WHO TO FOLLOW - TWITTER
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INTEREST INFLUENCE
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OZMOTA
Personalize the world’s extreme and fast
growing corpus of knowledge represented
through people, within the web and online data
Matthew Kapp & Simon Button – Cofounders of Ozmota - 2008
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Communicate
Socialise
CurateTransact
Discover
WEB 3.0
Social Graph
BehaviourInterest
Graph
Noise
Noise Signal
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PERSONALISING THE WEB
Noise Signal
Noise
Context Filters
Trust Filters
Intent Filters
Context Discovery Platform
Context Filters
Trust Filters
Intent Filters
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INTEREST CONCIERGE LEVERAGING LINKED DATA FOR A PERSONALIZED WEB EXPERIENCE
ThinkBox™
web experience important information
interestslike-minded people
mobilePC
tablet
reputation
autonomous search
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Enterprise
Education
Research
Innovation Management
HRM
Social
Content
Commerce
Media
CRM
Sector
Mobile / Telecoms
Health
Travel
Services
Government
PLATFORM OPPORTUNITIES
Personalised Web
Noise Signal
CONTEXT DISCOVERY PLATFORM
43Ozmota Inc - "the web made personal"™June 2011
TAKE HOMES
• Context and Personalisation transform Web 2.0 to Web 3.0• Social Media must adapt to support this transformation• Context is extremely important to delivering personalisation• The convergence of the Interest and Social Graphs provide
significant personalisation opportunities• The Interest Graph can help extend the long tail of Web 2.0
platforms• Algorithms must continually adapt and support multiple
approaches to personalisation– Implicit / explicit behaviour– Interest ontology enhancements– Autonomous search– Interest influence– “unexpected relevance”, or serendipitous discovery of content
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BECAUSE EVERYTHING IS RELATIVE .......
TO ME
WHY WEB 3.0 IS PERSONAL?
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QUESTIONS
@ozmota www.ozmota.com46June 2011