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[RakutenTechConf2013][C-4_3] Our Goals and Activities at Rakuten Institute of Technology
1. Our Goals and Activities at
Rakuten Institute of Technology
October/26/2013
Satoshi Sekine
Rakuten Institute of Technology
Rakuten Inc.
2. 1
Our goal
How was the
carrot you
got
yesterday?
Today this fresh
lettuce is good
Recommendation
You will take
a vacation?
The travel
agent over
there gives
good service
Affiliation
You are on
diet, but like
sweet food?
This sweet
tomato is good
for your health
Personalization
Old-fashioned
shop owner
3. 2
Our goal
You want to
know the
vegetable in
this photo…
It is an
artichoke.
Image
recognition
You can boil it
and eat it with
mayonnaise
World knowledge
Recently, it is
very popular
among young
people
Opinion mining
Old-fashioned
shop owner
4. 3
Create happy shopping experiences
Hints from a legendary & successful real market
Understand language
Master his products
Understand the customers
World Knowledge
Recognize image, video
Remember for the future
Manipulate knowledge
Think, inference, analysis
Situation adaptation
Friendly service
NLP
Multi-media
Big Data
Semantic
Big Data
I/F
Artificial Intelligence
Infrastructure
9. 8
Global vs. Local
Problem: Culture/Market dependency
We need one uniform DB structure = Global Catalog
Organize globally Adapt Locally
Sports Equipment
PelotaBaseball
10. 9
Overview
attribute value
Product information by
Attributes and values
Product types
Product category for display
is decided by “product
types” and a set of attribute
values
Mapping
R-HC Local Hierarchy
15. 14
2. Category Correction
NOISE!
Users are annoyed, Merchants are in trouble
→ Detecting the misplaced products
→ Reassigning them into the right genres
Many products are assigned into a wrong category
17. 16
Business Contributions
0
10
20
30
40
Jul. Aug. Sep. Oct. Nov.
GMS
0
10
20
30
40
Jul. Aug. Sep. Oct. Nov.
GMS
(1) 2 big merchants
2 million products (2011/9)
FIX Merchant A FIX
2011 2011
(3) Expanding to more categories
(2) 2 categories, which include 1,000 merchants
1 million products (2011/11)
Merchant B
→ Contributed to GMS
5 million products (2012/10)
25. 24
Relation Discovery technology
Yet, your sommelier will suggest
pairings, will explain to you why
this cheese might work better
with that wine.
As our cheese varies from mild
to full flavored, a number of wine
varieties may work…
Tips for Pairing White Wines
With Cheese
27. 26
… and also please join us!
We are hiring and
looking for internship students
Tokyo New York
Please contact us at dev-rit-coordinator@mail.rakuten.com