how app stores will change by 2015
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App Store In The Year 2015
Marcin Rudolf, CTO,
Future-‐Shaping Problems That App Stores Face
1. Open or closed app distribu<on model? 2. App Stores do not enable users to find apps they
want. 3. App Stores are not aware of user’s situa<onal
and social context.
From Desktops To Gadgets
• Handheld hardware created handheld soJware.
• A shiJ from consuming informa<on to using func<ons.
„Apps In The Browser” Not Likely To Succeed
• For most people there is no return to the desktop.
• We need „open hardware” first!
App Discovery Is Unsolved
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PosiCon in Monthly Top List
Less than 0.1% of Apps Generates More Than 50% of Monthly Downloads in Jun 2012
Google Play
Apple Appstore
Downloads in February 2013 Android 2,2 bln iOS 1,87 bln
A Long Tail Of Apps That Are Never Found
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PosiCon in Monthly Top List
How it really looks like State of the art 1. Most apps are never
downloaded
2. People are not finding what they want. 3. SoluCon to this problem will shape the future app store.
Content Discovery – Books & Papers
• Fundamentally books & papers are informa<on.
• We have thousands of years of experience in books discovery;>
• Classifica<on is becoming more automa<c.
Content Discovery -‐ Music
• Hundreds of self-‐proclaimed music genres exist.
• Music is very social and self-‐organising which is leveraged by last.fm and similar services.
hap://slycoder.files.wordpress.com/2010/01/meow.pdf
Intelligent App Store • App is a new type of content – An app is a piece of soJware that carries on a very specific ac<on in a short <me.
– An app is defined by what it does. • App Store must learn what apps can do for humans and how apps can be linked together.
• With close to 2 mln. apps exis<ng and 85 000 new apps each month this process must be automa<c.
Finding What Apps Can Do
Machine learning algorithms will:
• Find all possible app func<ons.
• Automa<cally assign each app to one or more func<on.
Showing What’s Out There
• What’s out there in music?
Search Box Is Too Hard For Average User
General Category Queries
“music”, “movies”, “chat”
5%
80%
15%
“Inspire Me” Queries
“games”, “fun”, “free”
Specific AcCon Queries
“crop photos”, “block calls”, “view movies”
Most users look for general app categories
Some users want to be inspired: to find a cool app or a new game
A small minority look for a specific func<on
How People Search For Apps? The Implica<ons
Source: 2 years of XYO’s query log data
A Rich User Context Is Available
• The device you are using knows what you do and where you are.
• Social services know who you are and what and whom you like.
• You are typically giving this informa<on away, disregarding any privacy concerns.
Facebook Graph Search: An Early Example Of Social Content Discovery
User As A Query
What if we map what you and your friends like to what apps in app store can do for you?
App Store 2015
• A mul<tude of „Walled Gardens” • With deep understanding what humans can do with apps.
• With intelligent algorithms which make long tail apps available.
• With deep knowledge of user’s situa<onal and social context that delivers apps seamlessly.
Thank You!
…and see all the above in ac<on hap://next.xyo.net/betasignup