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Various Data
Visualize
Useful insight
Ichiba GMS （∝ # of transaction ）
# of items # of reviews
160 M
Growing Data in Rakuten
…will be happening in Brazil as well
Source: eMarketer Jan 2014 “Retail Ecommerce Sales in Brazil to See Double-Digit Growth This Year”
Growing services with Growing Data
Vol.01 Oct/14/2014Yoichi Yoshimoto | MarioRakuten Institute of Technology, Rakuten Inc.http://rit.rakuten.co.jp/
• Yoichi Yoshimoto• Lead Coordinator
Rakuten Institute of TechnologyRakuten, Inc.
• So what’s my role? Connecting R&D projects to business and tech teams
Currently focusing on “Data Mining” and “Natural Language Processing” areas.
Rakuten, Inc.
1997 → 2014Our Mission: “Empowering
People and Societies through the Internet”.
Did you know…?
Key figures(1)
Key figures(2)
New Year
3.11
female （ PC）
w/o login （ PC ）
male （ SP）
female （ SP）
w/o login （ SP ）
male （ PC ）
# of Search Requests in Rakuten Ichiba(Nov. 2010 – Jun. 2014)
So how do we utilize this data?
Visualizing
HITOKE Application
Analyzing (and grasping trends)
分析
【 Keyword Trend 】 Peak Season Identification
When is the peak season for selling school bags?
【 Keyword Trend 】 Peak Season Identification
Re-discovering peak season from time series data
Jan
. 1
st
Dec.
31
st
“School Bags” have 2 peak seasonsGrandparents start looking for school bags as gifts for theirgrandchildren after their visitduring summer vacation.
Maybe!
【 Keyword Trend 】 Discovering event related demands
Finding unknown co-relations from temporal keyword data
【 Keyword Trend 】 Discovering event related demands
Finding unknown co-relations from temporal keyword data
【 Keyword Trend 】 Discovering event related demands
Burst keywords after Great East Japan EarthquakeWe can see demands that aren’t reflected in POS data.
Utilizing (for usability improvements)
ワンピース (one piece)
Item Genre SuggestionIdentifying Rakuten’s genres
which are related to user-input keywords
Item Genre Suggestion
Detecting biases in users’ search behavior
Women’s Clothing
ワンピース (one piece)
Men’s Clothing
Sports & Outdoors
Toys, Hobbies & Games
Home Appliances
Kids, Baby & Maternity
Related!
Related!
Related!
Women’s Clothing
Toys, Hobbies & Games
Kids, Baby & Maternity
Organizing (to acquire knowledge)
Attribute ExtractionItem pages in Rakuten are created by merchants
-> They Contain lots of unstructured text.
For better service, we need structured data.
Hard to see wine’s attributes Easy to see wine’s attributes
Attribute ExtractionItem pages in Rakuten are created by merchants
-> They Contain lots of unstructured text.
For better service, we need structured data.
Hard to see wine’s attributes Easy to see wine’s attributes
Attribute ExtractionWe can extract attributes regardless of categories or languages
as long as table data is available
Further Analyzing
GEAP: Global Event Analysis Platform• Collecting log data from any devices and services
with single platform.• Big data analysis of cross services
