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
Applying oCPC algorithm for production
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
yoppi
August 12, 2018
Technology
2
810
Applying oCPC algorithm for production
yoppi
August 12, 2018
Tweet
Share
More Decks by yoppi
See All by yoppi
solving of multi-armed bandit problem in advertisement recommendation
yoppi
2
8k
recommendation system with document similarity
yoppi
0
3.3k
RailsはRubyだ
yoppi
0
260
Other Decks in Technology
See All in Technology
セキュリティについて学ぶ会 / 2026 01 25 Takamatsu WordPress Meetup
rocketmartue
1
290
顧客との商談議事録をみんなで読んで顧客解像度を上げよう
shibayu36
0
190
外部キー制約の知っておいて欲しいこと - RDBMSを正しく使うために必要なこと / FOREIGN KEY Night
soudai
PRO
12
4.9k
FinTech SREのAWSサービス活用/Leveraging AWS Services in FinTech SRE
maaaato
0
120
サイボウズ 開発本部採用ピッチ / Cybozu Engineer Recruit
cybozuinsideout
PRO
10
73k
Azure Durable Functions で作った NL2SQL Agent の精度向上に取り組んだ話/jat08
thara0402
0
150
茨城の思い出を振り返る ~CDKのセキュリティを添えて~ / 20260201 Mitsutoshi Matsuo
shift_evolve
PRO
1
210
GitHub Issue Templates + Coding Agentで簡単みんなでIaC/Easy IaC for Everyone with GitHub Issue Templates + Coding Agent
aeonpeople
1
190
Agile Leadership Summit Keynote 2026
m_seki
1
530
Sansan Engineering Unit 紹介資料
sansan33
PRO
1
3.8k
M&A 後の統合をどう進めるか ─ ナレッジワーク × Poetics が実践した組織とシステムの融合
kworkdev
PRO
1
420
クレジットカード決済基盤を支えるSRE - 厳格な監査とSRE運用の両立 (SRE Kaigi 2026)
capytan
6
2.6k
Featured
See All Featured
Future Trends and Review - Lecture 12 - Web Technologies (1019888BNR)
signer
PRO
0
3.2k
What Being in a Rock Band Can Teach Us About Real World SEO
427marketing
0
170
Building Experiences: Design Systems, User Experience, and Full Site Editing
marktimemedia
0
410
Ruling the World: When Life Gets Gamed
codingconduct
0
140
Side Projects
sachag
455
43k
Reality Check: Gamification 10 Years Later
codingconduct
0
2k
Leadership Guide Workshop - DevTernity 2021
reverentgeek
1
200
SERP Conf. Vienna - Web Accessibility: Optimizing for Inclusivity and SEO
sarafernandez
1
1.3k
Lightning talk: Run Django tests with GitHub Actions
sabderemane
0
110
How Fast Is Fast Enough? [PerfNow 2025]
tammyeverts
3
450
SEO Brein meetup: CTRL+C is not how to scale international SEO
lindahogenes
0
2.3k
AI: The stuff that nobody shows you
jnunemaker
PRO
2
250
Transcript
OCPCΛຊ൪ڥʹద༻͢ Δ·Ͱ @YOPPIBLOG ADOKEN#1
ࣗݾհ IMPORT “GITHUB.COM/YOPPI" ▸ ٛా തҰ @yoppiblog ▸ Speee, Inc.
Engineer ▸ ࠷ۙΞυςΫք۾ʹ͍ͯɺࠓUZOUͷϨίϝϯυΤϯδ ϯͱ͔࡞͍ͬͯ·͢ ▸ Go͕͖
OCPCΛຊ൪ڥʹద༻͢Δ·Ͱ ࠓͷ͓ ▸ oCPCʹ͍ͭͯ ▸ ௐࠪ ▸ Ϟσϧͷ࡞ ▸ γϛϡϨʔγϣϯʹΑΔݕূ
▸ ຊ൪ڥͰͷ࣮ ▸ A/BςετͰͷϞχλϦϯάͱੳ ▸ ݱঢ়ͷ՝ͱࠓޙͷํ
OCPCΛຊ൪ڥʹద༻͢Δ·Ͱ ࠓͷ͓ ▸ oCPCʹ͍ͭͯ ▸ ௐࠪ ▸ Ϟσϧͷ࡞ ▸ γϛϡϨʔγϣϯʹΑΔݕূ
▸ ຊ൪ڥͰͷ࣮ ▸ A/BςετͰͷϞχλϦϯάͱੳ ▸ ݱঢ়ͷ՝ͱࠓޙͷํ
OCPCʹ͍ͭͯ OCPC ▸ Optimize CPCͷݺশ ▸ ೖߘ͞ΕͨࠂͷඪCPAͷୡͱ৴ֹۚͷ࠷େԽΛࢦͨ͢ΊʹࣗಈͰCPCೖ ࡳ͢Δػೳ ▸ جຊతʹCPA͕ѱԽ͢ΔͱͦͷΞυωοτϫʔΫͰͷ৴͕ࢭ·Δ
▸ CPAΛୡͤ͞Α͏ͱCPCΛखಈௐͰ͖ͳ͘ͳ͍͕৴໘͕ଟྔͳͨΊਓख Ͱͷௐඇݱ࣮త ▸ ސ٬ͷຬΛ্͢ΔͨΊʹϓϩμΫτͷ࣭ʢརӹʣΛ্͢ΔͨΊʹػೳͱ͠ ࣮ͯ͞Ε͍ͯΔ͖ ▸ ͱ͍͑ඪCPAΛݱ࣮ʹ͙ͦΘͳֹ͍ۚͰઃఆ͞ΕͨͷΛͳΜͱ͔͢ΔػೳͰ ͳ͍͜ͱલఏ
OCPCʹ͍ͭͯ OCPCΛ࣮͍ͯ͠Δڝ߹ଞࣾ ▸ جຊతʹCPAͷվળٴͼӡ༻ͷݮͱ͍͏Ґஔ͚ͮͰ UZOUͦ͜Λΰʔϧͱ͢ΔͷมΘΒͳ͍ ▸ Outbrain ▸ Logly ▸
Smart News ▸ LINE Ads
OCPCΛຊ൪ڥʹద༻͢Δ·Ͱ ࠓͷ͓ ▸ oCPCʹ͍ͭͯ ▸ ௐࠪ ▸ Ϟσϧͷ࡞ ▸ γϛϡϨʔγϣϯʹΑΔݕূ
▸ ຊ൪ڥͰͷ࣮ ▸ A/BςετͰͷϞχλϦϯάͱੳ ▸ ࠓޙͷ՝ͱ·ͱΊ
ௐࠪ ௐࠪ ▸ طଘͷϓϩμΫτจͷௐࠪ ▸ จΛย͔ͬΒಡΜͰ͍͘ ▸ “Optimal Real-Time Bidding
for Display Advertising” ͔ͳΓے͕ྑ͍ํ๏ͰࠓճͷϞσϧͷϕʔεʹͳ͍ͬͯΔ ▸ http://wnzhang.net/papers/ortb-kdd.pdf
ௐࠪ OPTIMAL REAL-TIME BIDDING FOR DISPLAY ADVERTISING ▸ ੍͖݅ඇઢܗ࠷దԽΛద༻ͯ͠RTBΛղ͍͍ͯΔ ▸
ొਓ ▸ Winning RateʢeCPM͕͍͘ΒͳΒଞͷࠂʹউͬͯ໘ʹͰΔͷ͔ʣ ▸ ༧ଌCTRʢະདྷͷCTRʣ ▸ ༧ଌCVRʢະདྷͷCVRʣ ▸ ϥάϥϯδϡະఆʢϥάϥϯδϡະఆ๏Ͱղ͘ࡍʹ༩͞Ε ͑Δมʣ
OCPCΛຊ൪ڥʹద༻͢Δ·Ͱ ࠓͷ͓ ▸ oCPCʹ͍ͭͯ ▸ ௐࠪ ▸ Ϟσϧͷ࡞ ▸ γϛϡϨʔγϣϯʹΑΔݕূ
▸ ຊ൪ڥͰͷ࣮ ▸ A/BςετͰͷϞχλϦϯάͱੳ ▸ ݱঢ়ͷ՝ͱ·ͱΊ
Ϟσϧͷ࡞ Ϟσϧ࡞ ▸ ੍͖ඇઢܗ࠷దԽͱͯ͠ཧϞσϧΛ࡞ͬͯղ͘ ▸ తؔɺ੍݅Λઃఆ͠ɺ੍݅Λຬͨͭͭ͠ తؔΛ࠷େԽ͢ΔʢCPCՁ֨Λ࠷దԽ͢Δʣ͜ͱ͕ ΰʔϧʹͳΔ f(bix )
= T N ∑ i=1 bix W(bix , ˜ θix ) ˜ θix pi T N ∑ i=1 bix W(bix , ˜ θix ) ˜ θix pi ≤ rx T N ∑ i=1 θix W(bix , ˜ θix ) ˜ θix pi తؔ ੍݅
Ϟσϧͷ࡞ ੍͖ඇઢܗ࠷దԽ ▸ ࠷దԽͷ͏ͪඇઢܗͳͷΛඇઢܗ࠷దԽͱݺ Ϳ ▸ ϥάϥϯδϡະఆ๏ͰύϥϝʔλΛٻΊΔ͜ͱͰۙࣅ ղΛಘΒΕΔ ▸ ࠓճeCPMউϞσϧΛ
ͱஔ͍͍ͯΔͷͰತؔ ͱͳΓχϡʔτϯ๏ͰϥάϥϯδϡະఆΛٻΊ͍ͯ Δ y = x x + l
Ϟσϧͷ࡞ ECPMউϞσϧ ▸ ͲͷeCPMͳΒ৴͞ΕΔʢΦʔΫγϣϯʹউͭʣͰ͋Ζ͏ Ϟσϧ ▸ త͕ؔತؔʹͳΔΑ͏ͳ୯७ͳඇઢܗؔ༻͍ͯ࠷খ ೋ๏Ͱ࡞ ▸ ತؔඍՄೳʹͳΓ࠷దԽܭࢉͰۃܭࢉʹ͓͍ͯ
ߴʹऩଋͤ͞͞ΕΔχϡʔτϯ๏͕͑ΔͨΊ
Ϟσϧͷ࡞ CTR༧ଌɾCVR༧ଌ ▸ ະདྷͷbidՁ֨Λೖࡳ͢ΔͨΊະདྷͷCTRɾCVRΛࢉग़͢Δඞཁ͕͋Δ ▸ ࣄલ͔ΒࣄޙΛβ༻͍ͯࢉग़ͦ͠ΕΛ༧ଌͱͯ͠༻ ▸ ৴ΞϧΰϦζϜͷҰͭͰଟόϯσΟοτ(Thompson Sampling)ʹͯ CTR༧ଌΛ͍ͯ͠Δͷ͕ͱͯੑೳ͕͍͍ͷͰͦͷ··ྲྀ༻͍ͯ͠Δ
▸ https://tech.speee.jp/entry/2018/08/08/090000 ▸ ECαΠτͰ͋ΔλΦόΦʢΞϦόόʣͷࠂϦΞϧλΠϜʹ༧ଌͯ͠ ͍Δ͜ͱΛհ͍ͯ͠Δ ▸ https://arxiv.org/pdf/1703.02091.pdf
OCPCΛຊ൪ڥʹద༻͢Δ·Ͱ ࠓͷ͓ ▸ oCPCʹ͍ͭͯ ▸ ௐࠪ ▸ Ϟσϧͷ࡞ ▸ γϛϡϨʔγϣϯʹΑΔݕূ
▸ ຊ൪ڥͰͷ࣮ ▸ A/BςετͰͷϞχλϦϯάͱੳ ▸ ࠓޙͷ՝ͱ·ͱΊ
γϛϡϨʔγϣϯʹΑΔݕূ γϛϡϨʔγϣϯʹΑΔݕূ ▸ ࣮ࡍʹoCPCϞσϧΛ࡞ͯ͠ҎԼͷ߲Λݕূ͢ΔͨΊʹγ ϛϡϨʔγϣϯʹ͓͍ͯݕূ ▸ ඪCPAΛୡͰ͖Δ͔Ͳ͏͔ ▸ ࠓճͷҰ൪ղܾ͍ͨ͠త ▸
৴ֹۚΛ࠷େԽͰ͖Δ͔Ͳ͏͔ ▸ ඪCPAΛୡ͍ͯͯ͠৴͞Εͳ͚ΕརӹʹͳΒ ͳ͍
γϛϡϨʔγϣϯʹΑΔݕূ γϛϡϨʔγϣϯͷ࣮ ▸ γϛϡϨʔγϣϯϑϨʔϜϫʔΫಛʹ࠾༻ͤͣɺPythonͰ ϑϧεΫϥονͰ࣮ ▸ ࡞ͨ͠ϞσϧͰCPCΛೖࡳͯ͠ ▸ ֤छϨίϝϯυΞϧΰϦζϜͰࠂΛநબ͠৴ ▸
Λ܁Γฦ͢୯७ͳͷ
γϛϡϨʔγϣϯʹΑΔݕূ ࣗલ࣮ͷPROS/CONS ▸ PROS ▸ ಛʹϥΠϒϥϦΛΘͣʹ࡞ͬͨͷͰॊೈʹ࣮Ͱ͖ͨ ▸ ࠂΛநબ͢Δ෦ͦͷޙͷclickͷൃੜΛ੍ޚ͢Δඞཁ͕͋Δͷ ͰUZOUͷγεςϜʹدΓఴͬͨͷΛ࡞ͬͨ΄͏͕ྑ͍ͷʹͳΔ ▸
CONS ▸ ൚༻ԽͰ͖Δͷʹͳ͍ͬͯͳ͍ ▸ ࠓճͷoCPCʹಛԽͨ͠࡞Γʹͳ͍ͬͯΔͷͰଞͷϓϩδΣΫτͰ ͦͷ··͑ͳ͍
ຊ൪ڥͰͷ࣮ ࣮ڥ ▸ γϛϡϨʔγϣϯͱಉ͘͡PythonͰ࣮ ▸ ϦΞϧλΠϜͰͷbid͓ͯ͠Βͣόονܗࣜ
ຊ൪ڥͰͷ࣮ ͳΔ࣮͘ߦ࣌ؒΛ͘͢Δ ▸ σʔλιʔε͔ΒͦΕͳΓͷσʔλΛऔಘ͢Δඞཁ͕͋Δ ▸ SQLΛͯ͠PythonଆͰͳΔ͘ܭࢉͤ͞ͳ͍Α͏ʹ ▸ ཧϞσϧΛܭࢉ͢Δͱ͖NumPy.arrayͰߴʹܭࢉͰ͖ΔΑ͏ʹ ▸ ѻ͏σʔλ͕ଟ͍ͷͰຊདྷͳΒO(mn)ڐ༰͢Δͱ͜ΖΛO(n)ʹ
͢ΔΑ͏ʹఆ߲ΛͳΔ͘ഉআ͢ΔΑ͏ʹ ▸ ͦͦχϡʔτϯ๏Λ࠾༻͍ͯ͠ΔͷͰऩଋ͕ͱͯߴʢ͍ͩ ͍ͨճͷΠςϨʔγϣϯͰऩଋ͍ͯ͠Δʣ
OCPCΛຊ൪ڥʹద༻͢Δ·Ͱ ࠓͷ͓ ▸ oCPCʹ͍ͭͯ ▸ ௐࠪ ▸ Ϟσϧͷ࡞ ▸ γϛϡϨʔγϣϯʹΑΔݕূ
▸ ຊ൪ڥͰͷ࣮ ▸ A/BςετͰͷϞχλϦϯάͱੳ ▸ ݱঢ়ͷ՝ͱ·ͱΊ
A/BςετͰͷಈ͖ํ A/BςετͰͷϞχλϦϯάͱੳ ▸ A/BςετΛ։࢝ͯ͠ɺ͏·͍ͬͯ͘Δࠂओͱ͏·͍ͬ͘ ͍͔ͯͳ͍ࠂओ͕ൃੜ ▸ ΞϧΰϦζϜۜͷؙͰͳ͍ͷͰԿ͕Өڹ͍ͯ͠Δͷ ͔ੳ͢Δඞཁ͕͋Δʢ͔͜͜Β͕Ή͠Ζຊ൪ ▸ ϞχλϦϯάμογϡϘʔυΛ࡞Γ࣌ͰՌΛੳ
▸ μογϡϘʔυҎ֎Ͱadhoc(Jupyter Notebook)Ͱ ੳ͍ͯ͠Δ
A/BςετͰͷಈ͖ํ ϞχλϦϯάπʔϧ ▸ dashΛ༻ ▸ Pythonʢflaskͷ্ʹಠࣗͷϑϨʔϜϫʔΫΛ͍ͤͯ Δʣ ▸ SPAͰಈ͘ʢReactͷίϯϙʔωϯτΛPythonͰॻ͚Δʣ SSR
OCPCΛຊ൪ڥʹద༻͢Δ·Ͱ ࠓͷ͓ ▸ oCPCʹ͍ͭͯ ▸ ௐࠪ ▸ Ϟσϧͷ࡞ ▸ γϛϡϨʔγϣϯʹΑΔݕূ
▸ ຊ൪ڥͰͷ࣮ ▸ A/BςετͰͷϞχλϦϯάͱੳ ▸ ݱঢ়ͷ՝ͱࠓޙͷํ
ݱঢ়ͷ՝ͱࠓޙͷํ A/Bςετ݁Ռ ▸ ͏·͍͍ͬͯ͘Δࠂओ͍Ε ▸ ඪCPAΛୡ͍ͯͯ͠৴ֹۚͰ͍ͯΔ ▸ ͏·͍͍ͬͯ͘ͳ͍ࠂओ͍Δ ▸ ඪCPAୡ͍ͯ͠Δ͕৴ֹ͕ۚग़͍ͯͳ͍ͷ͕ଟ
͍
ݱঢ়ͷ՝ͱࠓޙͷํ ͏·͍͍ͬͯ͘Δͷͱͦ͏Ͱͳ͍ͷΛੳ ▸ جຊతʹ͏·͍͍ͬͯ͘ͳ͍ͷ৴ྔ͕গͳ͍ ▸ ຊདྷ͋Δ͖ਅͷCPCʹಧ͔ͣෛ͚ͯ͠·ͬͯ৴͞Εͳ ͍ঢ়ଶ
ݱঢ়ͷ՝ͱࠓޙͷํ ਅͷCPCͱBID CPCͷൺֱ
ݱঢ়ͷ՝ͱࠓޙͷํ ਅͷCPCͱBID CPCͷൺֱ
ݱঢ়ͷ՝ͱࠓޙͷํ ਅͷCTRͱ༧ଌCTRͷ
ݱঢ়ͷ՝ͱࠓޙͷํ ਅͷCVRͱ༧ଌCVRɾ৴ֹׂۚ߹ͷ
ݱঢ়ͷ՝ͱࠓޙͷํ ECPMউϞσϧͷਫ਼ੳ
ݱঢ়ͷ՝ͱࠓޙͷํ ϞσϧͷվળҊ ▸ ༧ଌCVRͱeCPMউϞσϧ͕ѱͦ͏ͱݴ͑ΔͷͰ͜͜Λվળ͍ͯ͘͠ ▸ ༧ଌCVRͷࣄલͷվળ ▸ eCPMউϞσϧΛվળ ▸ StepModelͱConstantModelͷࠞ߹ϞσϧΘΓͱྑͦ͞͏͕ͩ
ತؔͰͳ͘ͳΔͷͰχϡʔτϯ๏͕͑͘ͳΓSGDʹΓସ ͑Δඞཁ͋Γ ▸ https://media.readthedocs.org/pdf/lmfit-py/0.9.3/lmfit-py.pdf
ڊਓͷݞʹΔ ͦͷଞͷࢀߟจݙ ▸ ࠷దԽೖ https://www.slideshare.net/tkm2261/ss-42149384 ▸ ͜ΕͳΒΘ͔Δ࠷దԽֶ https://www.amazon.co.jp/dp/ 4320017862/ ▸
ඇઢܗ࠷దԽͷجૅ https://www.amazon.co.jp/dp/4254280017/ ▸ ತؔʹ͍ͭͯ http://www2.kaiyodai.ac.jp/~yoshi-s/Lectures/ Optimization/2013/lecture_1.pdf