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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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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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