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1 .A Machine Learning Approach to
Time-Sensitive Data Analysis
Anthony Kim
Staff Data Scientist
Samsung Research America
#Ent4SAIS
2 .Acknowledgement
Machine Learning Feature Engineering Management
Jaemun Sim Byeonjin Kim Chanmuk Kim Kwanghyun Koh
Sai Kiriti Jinbeom Lee Wonkeun Oh VP Chul Lee
#Ent4SAIS 2
3 .Big Picture
Turn Big data into Smart Data via Audience Science
to Drive Value Creation
Devices • Provide executives with actionable
business insights
• Provide engineering teams with
Users Markets models for customers’ better product
experience
• Provide corporate citizens with
Apps Services
guidance to increase efficiency
Location/Time
#Ent4SAIS 3
4 . Smart Devices, Smart Data, and
Smart Services Machine-oriented Organic Logs:
Observe
Customers!
• ACR logs
• Smart Hub logs
Feeding HUMAN reaction
back into observation Turning MACHINE logs
into HUMAN data
Data-
Outcome from Machine Learning & driven
Data Mining Models: Business
• Targeted Ads / Marketing: Human-centric Smart Data:
Serve Know
• Personalized Recommendation on: Customers! Customers! • Hierarchical Session Data
• Connected Life • User Profiles / Segments
• Home, Auto, Mobile, … • Household Profiles / Segments
• Smart TV Services
• Contents
• Consumer Goods Building HUMAN
behavioral models
#Ent4SAIS 4
5 . Sessionization of Viewing History
• Combine all repetitive log datapoints as one time block if the state
remained the same
8:00pm Anthony Kim watched “XYZ-TV-SHOW Season 1 Episode 1” on Channel 1
8:01pm Anthony Kim watched “XYZ-TV-SHOW Season 1 Episode 1” on Channel 1
8:02pm Anthony Kim watched “XYZ-TV-SHOW Season 1 Episode 1” on Channel 1
…
8:30pm Anthony Kim watched “XYZ-TV-SHOW Season 1 Episode 1” on Channel 1
8:00pm – 8:30pm Anthony Kim watched “XYZ-TV-SHOW Season 1 Episode 1” on Channel 1
Apache Spark, Spark and the Spark logo are trademarks of This is one program watch session
The Apache Software Foundation
#Ent4SAIS 5
6 .Hierarchical Sessions
Top Layer (Layer 1):
By Panel Display in Use
TV was turned on TV was turned off
Layer 2:
HDMI 1 HDMI 2 HDMI 3 HDMI 1
By Content Input Source
Layer 3: STB Game Console Media Player STB
By Input Source Type
Brand
Layer 4: Device Model
Device Model #1234-0 Brand #1 Console #2 Device Model #1234-5
By Connected Device #3456
Console
Layer 5:
CH Game Movie
By Content Provider CH1 Game Provider 1 CH 3
2 Provider 2 Provider
Layer 6: XYZ A Game Movie
By Content Ad Game ABCD Ad BBall Ad Tennis
S01E01 d WXYZ CDEF
#Ent4SAIS 6
7 . Samsung Taste Graph ®
Tastes Devices
T1 Compute Relevance Scores
Map Content D1
T2
D2
...
...
TN
DM
Samsung Taste Graph is a trademark of Samsung Electronics Co., Ltd.
#Ent4SAIS 7
8 . TS01 TS02 … TS47 TS48
Time Units Day 1
Day 2
…
• Daily Time Slices (48 Time Slices/Day) Day N
• Day of Week (7) Mon Tue … Sat Sun
• Weekdays (5) and Weekend (2) Week 1
• Dayparts (8) Week 2
• Prime Time, Late News, Late Fringe, Post Late Fringe …
• Morning, Daytime, Early Fringe, Prime Access Week N
Weekdays Weekend
Week 1
Week 2
v Proprietary …
Time-Sensitive Week N
Taste Graph DP1 DP2 … DP7 DP8
v Proprietary Day 1
Quality Score Day 2
…
Day N
#Ent4SAIS 8
9 .Household Demographics Prediction
• Combination of General Machine Learning and Deep
Learning Algorithms
HH 1 Person 1 Feature Vector Labels
• 7,000+ features
HH 1 Person 2 Feature Vector Labels
• Time-sensitive features
HH 1 Person 3 Feature Vector Labels • Keyword features
HH 2 Person 1 Feature Vector Labels
• Title features
HH 2 Person 2 Feature Vector
• Duration features
Labels
HH 3 Person 1 Feature Vector Labels
#Ent4SAIS 9
10 . Training and Test Process
ACR EPG
on
Training models using
Prediction on
3rd party data with Cross Validation Transfer Learning
Proprietary Data
labels
TensorFlow, the TensorFlow
logo and any related marks are
trademarks of Google Inc.
Horovod is Uber’s Open Source
Distributed Deep Learning
Framework for TensorFlow
Databricks, the Databricks logo and any
related marks are trademarks of
Databricks Inc.
#Ent4SAIS 10
11 .Why Databricks?
• Suitable for a wide range of user groups
• Cost-effectiveness
• End-to-end machine learning lifecycle
• Support for distributed deep learning model training
#Ent4SAIS 11
12 .Summary
• Hierarchical Sessionization
• Samsung Taste Graph ®
• Time-Sensitive Features
– Proprietary Time-Sensitive Taste Graph / Quality Score
– Demographics Prediction
Smart Devices, Smart Data, and Smart Services
#Ent4SAIS 12
13 .Future Work
360-degree View of Whole Processes
(Observation, Profiling, Serving, Feedback, etc.)
#Ent4SAIS 13
14 .Thank you for your attention!
Questions?
hyunwoo.k@samsung.com
linkedin.com/in/anthony-sra
#Ent4SAIS 14
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