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Page 1: Complicated TV Made Easy, Again

Complicated TV made easy, againPersonalizing video entertainment in the age of abundance (of content, technology and business models)

ACM RecSys ConferenceVienna 2015

Page 2: Complicated TV Made Easy, Again

ContentWise learns user’s taste and habits and surfaces relevant content

The ContentWise software suite blends the power of recommendation algorithms with the convenience of • editorial and operational tools • assisted content curation • business rules • analytics • a/b testing • metadata enhancement

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Complicated TV made easy, again

Page 4: Complicated TV Made Easy, Again

History of TV (super-simplified)

Early Broadcasting Thematic Channels Early On-demand DVR & Home Video Internet Streaming

Unilateral programming curation

Abundance of channels

Narrow audience segments

“TV on my terms”

Program the DVR Rent/buy DVDs

Overwhelming offer

Aggregation of dispersed audiences

Long-tail effects

Hard to find relevant content

Too many channels for surfing Where’s the TV Guide?

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Content looks like a moving target

Live Airing

Restart TV Lookback EPG

Video Recording

Catchup (free for X days)

SVOD Catalog (older stuff?)

TVOD($$$)

OTT Apps (scattered content)

?! Where is the next episode?

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GOALPredict the next user’s action and user’s intent

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WHY?Reduce TIME-TO-CHOICE

Content offering is huge

Screensare small

Attention spanis short

Did you say “scroll”?Did you say “search”? I’m sorry, what did you say?

(otherwise you lose the user)

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Traditional “taste profile” has limitations

No adaptation to user’s lifestyle

No adaptation to context

No user’s intent

Taste Profile

Very valuable, sophisticated; but almost static

Types Topics Actors Genres

Directors Storytelling

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User’s lifestyle

Habits

Consumption patterns

User’s intent, in session

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Let’s consider additional profiling dimensions

DEVICE TYPE

TIME

LOCATIONWEATHER?

NEWS?

HOLIDAYS?…

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Unified Profiling

Linear TV On-demand

Profile

Find a way to create a unified profile from heterogeneous interaction schemes and data models

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Prediction Discovery

Surfacing the next available episode for each series the user is already following

Surfacing Next Episodes + Suggesting New TV Series

Suggesting pilots from series the user may like to try or promoted series

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Surface what’s relevant, for me, on this device, here, now

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Danke schön!

[email protected], we’re hiring!

www.contentwise.tv