Introduction of Rakuten Institute of Technology

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Fusion
Interaction Collaboration

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Why are we working on this problem? (Key Benefits)
‣ To organize our catalog in accordance with customer
expectations
‣ To precisely search our catalog for products and its variants
‣ To measure and enforce merchant KPI's.
What are we doing? (Key Tasks)
‣ Product Genre Classification
‣ Attribute Extraction from Product Information
‣ Merchant and Item Review Analysis
How are we doing it? (Key Technologies)
‣ Large-Scale Gradient Boosted Decision Trees
‣ Deep Learning (RNN's, CNN's, others)
‣ Computing Massive Number of NLP Features
Product Catalog
Businesses

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Each product can be assigned a category and attributes. For instance:
+Category Grocery & food
Subcategory Wine
Each (sub)category has a number of relevant attributes with a list of valid values
Challenge: this structured information is not always present or correct
Goal: automatically predict category and attributes from text and/or images
https://item.rakuten.co.jp/kawahara/345812/

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Classifier based on
Deep Learning Algorithm (CNN)
Prec@1 92%
Prec@10 99%
Classifier based on
Deep Learning Algorithm (CNN)
Prec@1 57%
Prec@3 75%
Extracting Words
* Tested to Ichiba L3 category (1.5K categories)
* Tested for PriceMinister Image Data
Text Data
• Item Title
• Item Description
Image Data

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我们真的很有诚意了。
你说我一个老总都亲
自跑了好几趟了。
Machine
translation
is A Rakuten group company which provides a video streaming service.
Volunteers are editing subtitles and translated subtitles.
https://www.viki.com/?locale=ja

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Hobby and Entertainment
> Books and Magazine
> Business Electronics
> Audio
> Earphone / Headphone
Electronics
> Smartphone
> AC Adaptor / Battery

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20. 2020
Control!

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未来店舗デザイン研究室
筑波大学

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てら・す
授業：デザイン演習

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株式会社 ヤッホーブルーイング
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イーザッカマニアストアーズ
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株式会社ネコリパブリック
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