Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Go as an aggregator in recommendation systems
Search
Sponsored
·
SiteGround - Reliable hosting with speed, security, and support you can count on.
→
Agata Naomichi
July 26, 2018
Programming
1.5k
2
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Go as an aggregator in recommendation systems
Agata Naomichi
July 26, 2018
More Decks by Agata Naomichi
See All by Agata Naomichi
Why Kotlin? 電子カルテを Kotlin で開発する理由 / Why Kotlin? at Henry
agatan
2
9.6k
全員アーキテクトで挑む、 巨大で高密度なドメインの紐解き方
agatan
9
24k
チームで開発し事業を加速するための"良い"設計の考え方 @ サポーターズCoLab 2025-07-08
agatan
2
710
医療系スタートアップが経験した 認知負荷問題の症状分析と処方箋 チーム分割による認知負荷の軽減 / Cognitive Load Busters
agatan
2
640
専門性の高い領域をいかに開発し、 テストするか / How to test and develop complicated systems with Domain Experts!
agatan
3
940
Henry のサーバーサイドアーキテクチャ 狙いと課題 2022.08.25 / Server-Side Architecture at Henry, Inc.
agatan
3
6.1k
The Web Conference 2020 - Participation Report
agatan
1
760
○○2vec 再考
agatan
1
4.7k
Improving "People You May Know" on Directed Social Graph
agatan
4
2.8k
Other Decks in Programming
See All in Programming
Claude CodeとAgentCore Gatewayを繋ぐ際の認証認可 / Authentication and authorization when connecting Claude Code with AgentCore Gateway
har1101
2
300
VibeCodingからAgenticWorkflowへ
starfish719
0
630
運用ダッシュボードの設計を誰も教えてくれないのだけどみなさんどうしてるんですか? - チームに監視するという文化を根付かせるための第一歩を踏みたい -
satoshi256kbyte
1
130
Building a Meta Ray-Ban display app
akkeylab
0
160
torikago - Ruby::Boxで照らすモジュラモノリスの実行境界
se4weed
1
390
Laravelで学ぶ Webアプリケーションチューニング入門/web_application_tuning_101
hanhan1978
4
1.9k
Detecting Compromised CI with eBPF and Cilium Tetragon
lizrice
0
210
源内ハンズオン概要編
hideg
0
190
人間の目はかわらない、だからJPEGは30年もつ
yuzneri
12
19k
AIを紡ぐPMのお話
swdtkuy
0
110
全PRの83%がAIレビューだけでマージできるようになった開発組織はその後どうなったか
athug
1
1.8k
ここ半年くらいでAIに作らせたR用ツール
eitsupi
0
390
Featured
See All Featured
Save Time (by Creating Custom Rails Generators)
garrettdimon
PRO
32
4.4k
We Are The Robots
honzajavorek
0
300
Exploring the Power of Turbo Streams & Action Cable | RailsConf2023
kevinliebholz
37
6.6k
Java REST API Framework Comparison - PWX 2021
mraible
34
9.7k
Fireside Chat
paigeccino
42
4k
Primal Persuasion: How to Engage the Brain for Learning That Lasts
tmiket
0
420
Navigating Team Friction
lara
192
16k
SEO in 2025: How to Prepare for the Future of Search
ipullrank
3
3.8k
Responsive Adventures: Dirty Tricks From The Dark Corners of Front-End
smashingmag
254
22k
Making the Leap to Tech Lead
cromwellryan
135
10k
Redefining SEO in the New Era of Traffic Generation
szymonslowik
1
390
The Psychology of Web Performance [Beyond Tellerrand 2023]
tammyeverts
49
3.5k
Transcript
©2018 Wantedly, Inc. Go as an aggregator In Recommendation Systems
26.Jul.2018 - Naomichi Agata
©2018 Wantedly, Inc. agatan Software engineer at Wantedly, inc. Server
side + Machine learning Github Twitter @agatan @agatan_
©2018 Wantedly, Inc. Everything is a Recommendation https://medium.com/netflix-techblog/netflix-recommendations-beyond-the-5-stars-part-1-55838468f429
©2018 Wantedly, Inc. Recommendations ΄ͱΜͲͷαʔϏεͰʮԿ͔Λਪન͢Δʯͱ͍͏ػೳ͋Δ
©2018 Wantedly, Inc. Impact of Recommendations ⾣Linkedinͷͭͳ͕Γͷ50%Ҏ্ʮΓ߹͍Ͱ͔͢ʁʯܦ༝ ⾣ https://engineering.linkedin.com/teams/data/projects/pymk ⾣NetflixਪનγεςϜͷcompetition
Λ։࠵ۚ͠$1 Million Λग़͍ͯ͠Δ ⾣ https://medium.com/netflix-techblog/netflix-recommendations-beyond-the-5-stars-part-1-55838468f429
©2018 Wantedly, Inc. Components of Recommendations ਪનͷࠜڌ͍ΖΜͳॴʹ͋Δ ⾣ʮ˓˓͞Μ͕-JLF͠·ͨ͠ʯ ⾣ʮ͜ͷΛߪೖͨ͠ਓ͜ͷങ͍ͬͯ·͢ʯ ⾣ʮڞ௨ͷͭͳ͕Γ͕ਓ͍·͢ʯ
⾣ʮͷχϡʔεʯ ⾣ʮ˓˓Λݕࡧͨ͠ํʯ ⾣ʮಉ͡ձࣾͰಇ͍͍ͯΔϢʔβʯ
©2018 Wantedly, Inc. Order of Recommendations ΑΓྑ͍ΞΠςϜΛɺΑΓྑ͍ॱংͰఏࣔ͢Δ͜ͱ͕ٻΊΒΕΔ ⾣Hot Topics ͳΔ͘͘ఏ͍ࣔͨ͠
⾣֬ݻͨΔࣗ৴ͷ͋ΔਪનΛ༏ઌͯ͠ݟ͍ͤͨ ⾣શମͰͷਓؾॱΑΓύʔιφϥΠζͨ͠ॱংΛఏڙ͍ͨ͠ ⾣αʔϏεݻ༗ͷׂΓࠐΈ͋Δ͔͠Εͳ͍ by Google
©2018 Wantedly, Inc. Recommendations with strategies
©2018 Wantedly, Inc. aggregator Strategy Strategy Strategy Strategy ༑ୡ͕-JLFͨ͠ΞΠςϜΛఏࣔ ߪೖཤྺ͔Βͷ͓͢͢Ί
ͷΞΠςϜ ϓϩϑΟʔϧ͔Βͷ͓͢͢Ί Recommendations with strategies Strategy Λ࣮ߦ ݁ՌΛू re-ordering ฒߦॲཧ
©2018 Wantedly, Inc. Recommendations with strategies ֤strategy͕ਪનΞΠςϜΛఏࣔ UZQF4USBUFHZJOUFSGBDF\ /BNF 4USBUFHZ/BNF
4VHHFTU DUYDPOUFYU$POUFYU VTFS*%JOU TJ[FJOU <> 4VHHFTU6TFS FSSPS ^ UZQF4VHHFTU6TFSTUSVDU\ 6TFS*%JOU 4DPSFqPBU 4USBUFHZ/BNF4USBUFHZ/BNF 3FBTPOJOUFSGBDF\^GPSMPHHJOH ^
©2018 Wantedly, Inc. Recommendations with strategies ͦΕΒΛฒߦʹ࣮ߦ͠ू ࠷ऴతͳॱংΛܾఆ͢Δ GPS@ TSBOHFTUSBUFHJFT\
XH"EE HPGVOD T4USBUFHZ \ EFGFSXH%POF TT FSST4VHHFTU DUY VTFS*% TJ[F JGFSSOJM\ SFQPSUFSSPS SFUVSO ^ NV-PDL TVHHFTUJPOTBQQFOE TVHHFTUJPOT TT NV6OMPDL ^ T ^
©2018 Wantedly, Inc. Why Go? Machine Learning ͱ Microservices ͳߏ
ˠ֤Strategy API CallΛؚΈ͏Δ ˠฒߦॲཧʹڧ͍͜ͱ͕׆͖Δ aggregator microservices
©2018 Wantedly, Inc. Responsibility of Aggregator ⾣Logging ⾣ ͲͷStrategy ͕Ͳͷ͘Β͍ՌΛ͍͋͛ͯΔ͔
⾣֤Strategy ͷείΞͷॏΈ͚ʹΑΔϥϯΩϯά ⾣e.g. ͢Ͱʹఏࣔͨ͜͠ͱͷ͋ΔΞΠςϜͷείΞΛݮਰͤ͞Δ ⾣A/B Testing
©2018 Wantedly, Inc. Problems… ⾣Frror reporting ⾣ ͋Δstrategy ͕ࢮΜͰ͍ͯશମࢭ·Βͳ͍Ͱ΄͍͠ ⾣ࢮΜͩ͜ͱʹؾ͖͍ͨ
⾣Frror reporting service Λ׆༻ ⾣ෳͷStrategy Ͱಉ͡API CallΛͨ͘͠ͳΔ ⾣e.g. Profile Service ʹॴଐΛ͍߹ΘͤΔ࠷ۙങͬͨͷΧςΰϦ͕Γ͍ͨ ⾣HPMBOHPSHYTZODTJOHMFqJHIU ΠϯϝϞϦΩϟογϡͰແཧཧଋͶΔ ⾣Ͳ͜·Ͱaggregator ͕ܭࢉ͢Δ͖͔
©2018 Wantedly, Inc. Conclusion ⾣ਪનγεςϜ͍ΖΜͳཁૉͷΈ߹Θͤ ⾣Microservices / Machine Learning ⾣A/B
Test ͕ॏཁ ⾣࣮ࡍʹԿΛݟ͔ͤͨɺԿ͕Action ʹͭͳ͕͔ͬͨLogging ͍ͨ͠ ⾣લஈʹGo Λ͓͘ͱศར ⾣Concurrent ʹ͍ΖΜͳStrategy Λ࣮ߦ͢Δͷ͕؆୯