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Libra suite – In-house toolset to improve LINE's ML product

Libra suite – In-house toolset to improve LINE's ML product

Bo Zhang
LINE Machine Learning Planning Team Machine Learning Project Manager
https://linedevday.linecorp.com/2020/jp/sessions/1731
https://linedevday.linecorp.com/2020/en/sessions/1731

LINE DevDay 2020

November 26, 2020
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  1. Haku Chou Who am I? › Joined LINE from June

    2019 › Working as a ML product/project manager › Data Labs Machine Learning Planning Team
  2. Brief introduction to Libra suite What is it? Offline evaluation

    Online evaluation Release Model deploy Generate demonstration Setup A/B test Monitor and report
  3. Brief introduction to Libra suite What is it? Offline evaluation

    Online evaluation Release Model deploy Generate demonstration Setup A/B test Monitor and report
  4. Brief introduction to Libra suite What is it? Offline evaluation

    Online evaluation Release Model deploy Generate demonstration Setup A/B test Monitor and report
  5. Issues until Libra suite Why we developed Libra suite? Suffered

    from huge communication cost to integrate AB test with service side Lack of qualitative analytics and evaluation tools for ML development Too long stand-by between ML solution’s AB test and release
  6. Issues until Libra suite Why we developed Libra suite? Suffered

    from huge communication cost to integrate AB test with service side Lack of qualitative analytics and evaluation tools for ML development Too long stand-by between ML solution’s AB test and release
  7. Issues until Libra suite Why we developed Libra suite? Suffered

    from huge communication cost to integrate AB test with service side Lack of qualitative analytics and evaluation tools for ML development Too long stand-by between ML solution’s AB test and release
  8. Issues until Libra suite Why we developed Libra suite? Suffered

    from huge communication cost to integrate AB test with service side Lack of qualitative analytics and evaluation tools for ML development Too long stand-by between ML solution’s AB test and release
  9. Missions of Libra suite What do we expect from Libra

    suite? To conduct more AB test efficiently with less cost To offer standard demonstration tools for qualitative evaluation To accelerate the “model deploy -> analysis -> report -> release” cycle
  10. Developers and users of Libra suite People involved in Libra

    suite Organization LINE's Data Labs ML team: core dev. DS team: core users and testers. DV team: UI/UX design. Main contributors 5 developers PM: 1 Engineer: 3 Designer: 1 Main target users LINE’s service side: PM or engineer Data Labs: data scientists ML engineers PM
  11. Developers and users of Libra suite People involved in Libra

    suite Organization LINE's Data Labs ML team: core dev. DS team: core users and testers. DV team: UI/UX design. Main contributors 5 developers PM: 1 Engineer: 3 Designer: 1 Main target users LINE’s service side: PM or engineer Data Labs: data scientists ML engineers PM
  12. Developers and users of Libra suite People involved in Libra

    suite Organization LINE's Data Labs ML team: core dev. DS team: core users and testers. DV team: UI/UX design. Main contributors 5 developers PM: 1 Engineer: 3 Designer: 1 Main target users LINE’s service side: PM or engineer Data Labs: data scientists ML engineers PM
  13. Libra › An in-house CMS to set A/B test up

    › Split users into multiple groups › Test spec. shared w/ other systems via JSON (for integration)
  14. Libra How many AB tests conducted in 2020 0 5

    10 15 20 25 30 35 40 Jan Feb Mar Apr May Jun Jul Aug Sep
  15. Libra report › Aggregate AB test logs › Real-time and

    batch data integration › Manage metrics › Generate dashboard
  16. Libra checker As of 2020/09/30 services Support 5 groups Candidate

    groups max 11 items Items per group max 100
  17. › From CF to end2end DNN › 5 AB tests

    › 3 regions: Japan, Thailand and Taiwan › Conducted seamlessly in 3 months AB test for sticker recommendation
  18. 5 AB tests setup and ran by Libra The progress

    of sticker recommendation AB test Release Test #4 Further expanded target users in JP Test #2 DNN to DNN end2end Test #5 Independent tests in TH&TW Test #3 Expanded target users in JP Test #1 Collaborative Filtering to DNN
  19. 5 AB tests setup and ran by Libra The progress

    of sticker recommendation AB test Release Test #4 Further expanded target users in JP Test #2 DNN to DNN end2end Test #5 Independent tests in TH&TW Test #3 Expanded target users in JP Test #1 Collaborative Filtering to DNN
  20. 5 AB tests setup and ran by Libra The progress

    of sticker recommendation AB test Release Test #4 Further expanded target users in JP Test #2 DNN to DNN end2end Test #5 Independent tests in TH&TW Test #3 Expanded target users in JP Test #1 Collaborative Filtering to DNN
  21. 5 AB tests setup and ran by Libra The progress

    of sticker recommendation AB test Release Test #4 Further expanded target users in JP Test #2 DNN to DNN end2end Test #5 Independent tests in TH&TW Test #3 Expanded target users in JP Test #1 Collaborative Filtering to DNN
  22. 5 AB tests setup and ran by Libra The progress

    of sticker recommendation AB test Release Test #4 Further expanded target users in JP Test #2 DNN to DNN end2end Test #5 Independent tests in TH&TW Test #3 Expanded target users in JP Test #1 Collaborative Filtering to DNN
  23. 5 AB tests setup and ran by Libra The progress

    of sticker recommendation AB test Release Test #4 Further expanded target users in JP Test #2 DNN to DNN end2end Test #5 Independent tests in TH&TW Test #3 Expanded target users in JP Test #1 Collaborative Filtering to DNN
  24. Bugs and oversights caught by Libra report The progress of

    sticker recommendation AB test Release Test #4 Further expanded target users in JP Logic flaw Recommended items overlapping Test #5 Independent tests in TH&TW Test #3 Expanded target users in JP Test #1 Collaborative Filtering to DNN
  25. Bugs and oversights caught by Libra report The progress of

    sticker recommendation AB test Release Test #4 Further expanded target users in JP Logic flaw Recommended items overlapping Test #5 Independent tests in TH&TW Deployment miss Delivery system setup miss Test #1 Collaborative Filtering to DNN
  26. Bugs and oversights caught by Libra report The progress of

    sticker recommendation AB test Release Side effect Unexpected effect on AD’s impression Logic flaw Recommended items overlapping Test #5 Independent tests in TH&TW Deployment miss Delivery system setup miss Test #1 Collaborative Filtering to DNN
  27. AB test result For SMARTCH sticker recommendation daily Sticker sales

    + 900K(¥) daily Impression + 50M for Japan users Target users 250%
  28. The upcoming features to Libra suite › Support more LINE

    services › Allow users to commit customized query via workflow engine like Airflow Libra report Libra checker › Add support for historical comparison demonstration › Add support for cross-domain recommendation demonstration Libra › Add support for service side creative AB test › Add support for AB test based on item2item recommendation Future work
  29. The upcoming features to Libra suite › Support more LINE

    services › Allow users to commit customized query via workflow engine like Airflow Libra report Libra checker › Add support for historical comparison demonstration › Add support for cross-domain recommendation demonstration Libra › Add support for service side creative AB test › Add support for AB test based on item2item recommendation Future work
  30. The upcoming features to Libra suite › Support more LINE

    services › Allow users to commit customized query via workflow engine like Airflow Libra report Libra checker › Add support for historical comparison demonstration › Add support for cross-domain recommendation demonstration Libra › Add support for service side creative AB test › Add support for AB test based on item2item recommendation Future work
  31. The upcoming features to Libra suite › Support more LINE

    services › Allow users to commit customized query via workflow engine like Airflow Libra report Libra checker › Add support for historical comparison demonstration › Add support for cross-domain recommendation demonstration Libra › Add support for service side creative AB test › Add support for AB test based on item2item recommendation Future work
  32. We are hiring! Join LINE’s machine learning team › https://linecorp.com/ja/career/position/1408

    Server Side Engineer Machine Learning Engineer › https://linecorp.com/ja/career/position/589 MLOps Engineer › https://linecorp.com/ja/career/position/2255