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

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

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

  1. 1. Our Goals and Activities at Rakuten Institute of Technology October/26/2013 Satoshi Sekine Rakuten Institute of Technology Rakuten Inc.
  2. 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. 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. 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. 5. 4 Research Topics 1. Rakuten Hub Category 2. Category Correction 3. Surf Shopping
  6. 6. 5 Research Topics 1. Rakuten Hub Category 2. Category Correction 3. Surf Shopping
  7. 7. 6 Different Category Structures of Rakuten Marketplaces
  8. 8. 7 Hub and Spoke Model HUB
  9. 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. 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. 11. 10 Definition of Global Category 135 top categories Culture/country independent
  12. 12. 11 Definition of Attribute (bag) Set of attributes for each category
  13. 13. 12 Mapping Tool Specify a category of a marketplace, and show the corresponding category of all the Rakuten marketplace
  14. 14. 13 Research Topics 1. Rakuten Hub Category 2. Category Correction 3. Surf Shopping
  15. 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. 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. 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. 18. 17 Research Topics 1. Rakuten Hub Category 2. Category Correction 3. Surf Shopping
  19. 19. 18 Online Shopping Offline Shopping Search-oriented Good for finding a specific item Browsing-oriented Good for looking around 3. Surf Shopping
  20. 20. 19 Motivation Online Shopping Offline Shopping Search-oriented Good for finding a specific item Browsing-oriented Good for looking around
  21. 21. 20 Recommendation / Categories / Ranking
  22. 22. 21 Associative Relations for SurfShopping Cheese
  23. 23. 22 Cracker Cheese Wine Associative Relations for SurfShopping
  24. 24. 23 Grape Cheese cake Pasta Pizza Grater Cracker Salad Cheese knife Cheese Wine Associative Relations for SurfShopping
  25. 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. 26. 25 Our Goal Technologies for Happy Shopping Experiences
  27. 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

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