Your SlideShare is downloading. ×
[RakutenTechConf2013][C-4_3] Our Goals and Activities at Rakuten Institute of Technology
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

[RakutenTechConf2013][C-4_3] Our Goals and Activities at Rakuten Institute of Technology

610
views

Published on

Rakuten Technology Conference 2013 …

Rakuten Technology Conference 2013
"Our Goals and Activities at Rakuten Institute of Technology"
Satoshi Sekine (Rakuten)


0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
610
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
7
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 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
  • 5. 4 Research Topics 1. Rakuten Hub Category 2. Category Correction 3. Surf Shopping
  • 6. 5 Research Topics 1. Rakuten Hub Category 2. Category Correction 3. Surf Shopping
  • 7. 6 Different Category Structures of Rakuten Marketplaces
  • 8. 7 Hub and Spoke Model HUB
  • 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
  • 11. 10 Definition of Global Category 135 top categories Culture/country independent
  • 12. 11 Definition of Attribute (bag) Set of attributes for each category
  • 13. 12 Mapping Tool Specify a category of a marketplace, and show the corresponding category of all the Rakuten marketplace
  • 14. 13 Research Topics 1. Rakuten Hub Category 2. Category Correction 3. Surf Shopping
  • 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
  • 16. 15 Bottle 720ml Japan Delicious Tengumai light Japanese Sake Tengumai Note: “Tengumai” is a famous Japanese sake (rice wine) The words, which are assigned into only one category automatically dictionary Definitive Category Words (DCW) Technology (Modified TF/IDF strategy)
  • 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)
  • 18. 17 Research Topics 1. Rakuten Hub Category 2. Category Correction 3. Surf Shopping
  • 19. 18 Online Shopping Offline Shopping Search-oriented Good for finding a specific item Browsing-oriented Good for looking around 3. Surf Shopping
  • 20. 19 Motivation Online Shopping Offline Shopping Search-oriented Good for finding a specific item Browsing-oriented Good for looking around
  • 21. 20 Recommendation / Categories / Ranking
  • 22. 21 Associative Relations for SurfShopping Cheese
  • 23. 22 Cracker Cheese Wine Associative Relations for SurfShopping
  • 24. 23 Grape Cheese cake Pasta Pizza Grater Cracker Salad Cheese knife Cheese Wine Associative Relations for SurfShopping
  • 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
  • 26. 25 Our Goal Technologies for Happy Shopping Experiences
  • 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