Improving the listening experience through context-aware discovery. (2013) - Download the 'Putting Music in Context' whitepaper for free at http://enterprise.jini.co

1. Putting Music
in context
Improving the listening experience through
context-aware discovery.
Jini
by
Argus Labs
WWW.JINI.CO
by R. Berger, D. Damen, K. Underseth and A. Wuyts
2013

2. Jini PRESENTS
PUTTING MUSIC IN CONTEXT
Improving the listening experience through context-aware discovery.
Introduction to context
3
Introduction to Jini
4
Real-world applications
5
Applying context - data flow 6
Benefits of a contextualized user experience
8
For individuals
For music services
Technical integration
9
Contextualization Platform
Android SDK
Personal Analytics Website
Get in touch
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3. “ Without context, digital applications
are deaf and blind. ”
Richard W. DeVaul
Google X labs
Introduction to context
In this day and age, consumers expect music providers to go beyond simple content delivery; they
expect a personalized experience that fits their lifestyle. In order to do this, music providers exhaust
market research methods in order to put their users into context. The issue with this process is
threefold: the strategies used are expensive; they don’t accurately measure behavior or habits;
and finally, they don’t provide continuous, real-time data. Yet context is crucial because without it,
“digital applications are deaf and blind,” says Richard W. DeVaul from Google X Labs [1].
The explosion of data in the last couple years has made it more challenging – and more imperative –
than ever to provide relevant and usable data to those who need it. There’s simply too much personal
information generated for basic analytic systems to provide knowledgeable feedback about its
users. Jini, however, has established a contextualization platform that makes sense of personal
data and turns it into actionable knowledge, thereby providing better insights to companies and
individuals.
[1] http://www.media.mit.edu/wearables/mithril/intro/topic3.html
PUTTING MUSIC IN CONTEXT
Jini, 2013
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4. Introduction to Jini
In order to get increasing value out of big data, Jini has built an intelligent contextualization platform
with robust context-aware tools that organize personal data into three pillars: habit, mood, and
environment. These three categories are layered on top of one another in order to create an
interconnected web of meaning about a person’s actions.
Instead of only providing the time of a specific event, which is the most common analytic variable,
Jini’ context engine is aware of where a person is and where he is traveling, what music he is
listening to, how much sleep he got last night, along with a number of other information streams.
It puts specific individuals in context of the real world and understands their habits, moods, and
environment like never before.
PUTTING MUSIC IN CONTEXT
Jini, 2013
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5. Real-world applications
The Jini context engine actively transforms raw data into actionable knowledge and its functionality
is extremely versatile. Partnered companies and developers have the capability of tapping into any
number of our extensive user data streams in order to provide better insights about audience and
build a more streamlined experience for users.
The current process of analyzing a person’s music preferences depend almost entirely on listening
history and common interests shared with peers. The issue with this method is that the context of
the music session – how and why a person is listening – is left out entirely. When thinking about
all the different variables that go into someone listening to music, the industry is making mere
‘educated guesses.’ What about the device a person is using? Or their physical location? What
about the events that lead up to that moment? Even the weather? These are all insights that are
missing from the music industry’s current analytical framework. As a result, streaming services
do not tap into accessible data and use it to their advantage like they can with a contextualization
platform.
Shifting from a system that makes ‘best guesses’ to one that truly understands its user base and
has the ability to not only predict but also push recommendations makes a significant difference in
customer experience. Rather than having the user go online in search for new artists, the context
engine can predict music for an individual depending on their habits. Then, once the person begins
an activity – driving, working out, studying, etc – their device can push them the right content at the
right time. To the listener, it feels like magic because without any input, a person’s favorite music
tracks are suddenly streaming on their device just as they want them. It’s a innovative, streamlined
way to bring basic recommendations to an entirely new level.
PUTTING MUSIC IN CONTEXT
Jini, 2013
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6. Applying context - data flow
PUTTING MUSIC IN CONTEXT
Jini, 2013
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7. The interconnected
information streams
that provide a
detailed view of who
a person is.
Broader segmentation of user
context into habit, mood and
environment profiles for a user.
USER Context
CONTEXT Profile
Sample applications that could
be built on top of context profiles
to enhance an app’s user
experience.
APPLICATION
HABIT MusicAL EXCURSION ON HOLIDAY
• Music
• Location
• Activity
• user is travelling abroad
• user is listening to his favourite
genres
also
• user is visiting leisure places
• users is sleeping at a single
location throughout the trip
Suggest one or more local music
events that best matches a
person’s favourite music genres
and bands. Send this message
around 6PM when arrived in the
hotel where the user sleeps.
Mood Music mood facilitator
• Music
• Location
• Social
• user is listening to music genre X
• genre X deviates from the user’s
normal listening behaviour
• genre x is associated with a strong
emotion Y
also
• user has changed Facebook
relationship status
Optimize the current playlist to
contain more songs associated
with genre X and emotion Y.
Avoid songs linked to opposite
emotions.
ENVIRONMENT Event Warmup
• Music
• Location
• Schedule
• we know the user plans to attend
event X with taste-matching
artists Y
• user is currently at home listing to
the same taste of music
Adjust the music playlist to
include new and top tracks of the
artists performing to build up to
the event.
HABIT Tailored to your Commute
• Music
• Location
• Activity
• user is commuting to work
also
• the user’s monday morning
commute is 45 minutes on
average
PUTTING MUSIC IN CONTEXT
Jini, 2013
Optimize playlists to incorporate
favorite music genres to create
a better listening atmosphere
during a commute.
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8. Benefits Of a contextualized user experience
For individuals
• Living music libraries that follow and adjust to you
• Unobtrusive, fluid listening environment at all times
• Self-learning system that creates playlists for every occasion and every mood
For music services
• Crystal clear understanding of customers
• Ability to tailor products and brands to certain demographics based on interconnected data
streams
• Content promotion (nearby concerts, music samples, advertising) fhat fits customer lifestyle
and schedule without annoyances earns loyalty
• Better targeting, engagement, and conversion rates
• Reduces churn of clients, which leads to more revenue
• Allows our partners to differentiate their products from competitors
• Privacy enhancing technologies, regulatory compliance and user trust on everything we do
with and without our partners
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9. Technical Integration
Jini provides a suite of tools to enable both individual developers and corporate partners and
enterprises the ability to add contextual features to their products quickly and reliably.
Contextualization Platform
At the center of the Jini enterprise offering sits an extensible and secure data aggregation platform.
This platform follows Linked Data principles and provides a RESTful API to developers to access
context histories as semantically-enriched data streams. Fine-grained permission controls allow
users to precisely define which parts of their context history are visible and to whom. This context
history serves as the basis on which more robust models and recommender systems can be trained
in the domain of a specific company. Additionally, Webhooks can be installed in the platform that
trigger when specific conditions are met regarding a user’s current context, obviating the need to
continuously poll the platform.
In a second phase, collective contextual analytics will be made available that group anonymized
contextual patterns together. These will allow developers and corporate partners to augment their
apps with broad context-aware features when individual context histories are not available.
Mobile SDK
With the Jini Mobile SDK, creating context-aware mobile applications has become easier still. This
library takes care of all boilerplate code necessary to securely connect to the Jini platform and start
consuming contextual data streams. An extended version of the SDK that also allows an end user
to enable broader activity tracking on his smartphone and seamlessly stream this to the platform is
under continious development and available to corporate partners.
Personal Analytics Website
On top of the contextualization platform, we provide a personal analytics website designed for end
users. From here, they get a bird’s eye view of their context history and drill down with detailed
reports. Furthermore, it provides a completely transparent view of who can access their data and
how it is being used. A complete set of privacy controls empowers them to extend and withdraw
permissions on data access without jumping through hoops.
PUTTING MUSIC IN CONTEXT
Jini, 2013
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10. Get in touch
Jini is at the forefront of the evolution of analytics, offering a unique
platform that is user friendly for both individuals on the front-end
and developers on the back-end. It’s robust and can greatly improve
the user experience in a number of scenarios. And on top of it all,
it’s secure and reliable. As the leader in the space, Jini sees this as
an opportunity and responsibility to set a rigorous standard for a
context-aware platform.
If you’re interested in exploring how Jini can specifically meet
your need, email us at info@jini.co or call us at +32 3 369 96 96.
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