Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
スマートフォン向けインターネット広告配信システムの配信最適化
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
Takashi Nishibayashi
July 11, 2017
Business
2.1k
3
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
スマートフォン向けインターネット広告配信システムの配信最適化
DATUM STUDIO Conference 2017夏での講演資料です
非エンジニア向けの内容です
Takashi Nishibayashi
July 11, 2017
More Decks by Takashi Nishibayashi
See All by Takashi Nishibayashi
病院向け生成AIプロダクト開発の実践と課題
hagino3000
0
840
入院医療費算定業務をAIで支援する:包括医療費支払い制度とDPCコーディング (公開版)
hagino3000
0
270
診断前の病歴テキストを対象としたLLMによるエンティティリンキング精度検証
hagino3000
1
250
論文紹介 Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models
hagino3000
0
1.1k
論文紹介 Audience Size Forecasting Fast and Smart Budget Planning for Media Buyers
hagino3000
0
290
論文紹介 Towards a Fair Marketplace: Counterfactual Evaluation of the trade-off between Relevance, Fairness & Satisfaction in Recommendation Systems
hagino3000
1
690
論文紹介 Budget Management Strategies in Repeated Auctions (公開版)
hagino3000
2
360
論文紹介 A Request-level Guaranteed Delivery Advertising Planning: Forecasting and Allocation
hagino3000
1
190
論文紹介 Online Experimentation with Surrogate Metrics Guidelines and a Case Study
hagino3000
1
470
Other Decks in Business
See All in Business
株式会社なぞる 会社概要
nazoru
0
140
Session 5 - Teknik Lobby dan Negosiasi
adeputra13
0
390
20261024_スクラム祭り三島
kgnkhkr
0
470
新卒採用向け説明資料
kazumakitao
PRO
1
4.3k
セキサーマル株式会社 会社紹介資料
sekithermal
0
380
Trend Cloud OneからTrendAI Vision Oneへの切替 - 事前に押さえたい疑問とつまずきやすいポイント
todatomohiro
0
400
会社説明資料 | 株式会社Swish
takumi4327
0
160
Supermarket Floral Ad Roundup Week 43
karnelson84
0
160
エムスリーキャリア エンジニア採用資料 / M3C Engineer Guide
m3c
2
120k
malna-recruiting-pitch
malna
1
30k
Your AI doesn’t have a point of view.
macgupta
0
160
変化の時代に自分のハンドルを握る ── イチから始めるセルフマネジメント/Self-Management in the Winds of Change
ikuodanaka
2
350
Featured
See All Featured
Discover your Explorer Soul
emna__ayadi
2
1.3k
Bash Introduction
62gerente
615
220k
Sharpening the Axe: The Primacy of Toolmaking
bcantrill
46
3.1k
[RailsConf 2023] Rails as a piece of cake
palkan
59
7.1k
Efficient Content Optimization with Google Search Console & Apps Script
katarinadahlin
PRO
1
980
Done Done
chrislema
187
17k
Agile Leadership in an Agile Organization
kimpetersen
PRO
0
310
Abbi's Birthday
coloredviolet
4
11k
First, design no harm
axbom
PRO
2
1.4k
A brief & incomplete history of UX Design for the World Wide Web: 1989–2019
jct
2
560
Stewardship and Sustainability of Urban and Community Forests
pwiseman
0
590
Un-Boring Meetings
codingconduct
0
490
Transcript
εϚʔτϑΥϯ͚ Πϯλʔωοτࠂ৴γεςϜ ʹ͓͚Δ৴࠷దԽ 5BLBTIJ/JTIJCBZBTIJ %"56.456%*0$POGFSFODFՆ
Agenda 1.ࣗݾհ 2.ΞυωοτϫʔΫͱωοτࠂۀքʹ͍ͭͯ 1.ωοτࠂϏδωεͷ֓ཁ 2.ࠂ৴ͰΘΕΔਓೳཁૉٕज़ 3.ฐࣾࣄྫͷհ 1.ΫϦοΫ୯Ձͷௐઅ 2.৴͢Δࠂͷબ
ࣗݾհ ID: hagino3000 Name: ྛ (Takashi Nishibayashi) Job: Software
Engineer ݱࡏZucks AdNetworkʹͯ৴ϩδοΫ ͷ։ൃΛ୲ɻσʔλੳج൫ͷߏங͔Β ػցֶशΛͬͨ༧ଌɺ࠷దԽॲཧ·Ͱɻ
࠷ۙͷ׆ಈ ਓೳֶձࢽ Vol. 32 No. 4 (2017/07) ͷʮࠂͱAI ಛूʯʹຊͷ༰ʹؔ࿈ ͨ͠هࣄΛدߘ͍ͯ͠·͢ɻ
ৄࡉʹڵຯ͕͋Δํ͝Ұಡ͍ͩ͘͞ɻ
Ad Networkͱ ✴ ΠϯλʔωοτͷσΟεϓϨΠࠂྖҬʹ͓͍ͯɺ ෳͷࠂओͱෳͷഔମࣾΛଋͶͯࠂΛ৴͢ ΔΈ ✴ ഔମࣾʹऩӹΛɺࠂओʹίϯόʔδϣϯΛ ͨΒ͢ͷ͕ࣄ ✴
ࠂϦΫΤετຖʹͲͷࠂΛ৴͢Δ͔ϩδοΫ Ͱܾఆ͍ͯ͠Δ
Ad Network ࠂೖߘ ࠂओ ഔମࣾ ࠂഔମ (ϝσΟΞ) ࠂ৴ ࠂඅ
ࠂऩӹ ΦʔσΟΤϯε Click
ωοτࠂ৴ͱ ਓೳཁૉٕज़ ✴ ৴͢Δࠂͷબ ✴ CTRɾCVR༧ଌ ✴ ϢʔβʔτϥοΩϯά ✴ ྫ:
ෳσόΠεΛލ͍ͩߪങߦಈͷ ✴ ࠂޮՌͷਪఆ ✴ ྫ: TV CMͷޮՌਪఆ ✴ ࠂΦʔΫγϣϯʹ͓͚ΔϦΞϧλΠϜೖࡳ
Zucks AdNetworkʹ͓͚Δ ࣄྫհ ✴ લఏ ✴ ৫ͷσʔλ׆༻εςʔδ ✴ Ad NetworkʹٻΊΒΕΔ৴
✴ ࣄྫ1. ΫϦοΫ୯Ձͷ࠷దԽ ✴ ࣄྫ2. ୳ࡧ৴ͷޮԽ
৫ͷσʔλ׆༻εςʔδ σʔλΛཷΊΒΕΔ σʔλ͕ར༻Ͱ͖ͳ͍ॴʹ͍͖ͳΓػցֶशΛͬͨ γεςϜΛσϓϩΠͰ͖ͳ͍ σʔλ͕Ҿ͖ग़ͤΔ ੳ͕Ͱ͖Δ ༧ଌॲཧͷγεςϜԽ ༧ଌ݁ՌΛͬͨऩӹͷ࠷େԽ ݕূͷ
Έ #*πʔϧͷಋೖ "#ςετ ҼՌޮՌਪ ཧ࠷దԽ ػցֶश ੳج൫ͷߏங
ཁһ֬อ ✴ ࠷ॳ͔ΒશͯͷϨΠϠʔͰඞཁͳεΩϧΛ࣋ͭਓࡐ Λἧ͑Δͷ͍͠ ✴ Γͳ͍ॴ͍͍ײ͡ʹิ͍ͬͯ͘ඞཁ͕͋Δ ✴ ֎෦……??
ղ͖͍ͨ ✴ ͍ͭ ✴ ୭ʹ or Ͳͷࠂʹ ✴ ͲͷࠂΛ ✴
(ΫϦοΫ୯Ձ) ͍͘ΒͰ ✴ දࣔ͢Δͷ͔
ఆࣜԽ ✴ ඪ ✴ ഔମࣾऩӹͷ࠷େԽ ✴ ੍݅ ✴ ࠂओͷඪCPA (ίϯόʔδϣϯ֫ಘ͋ͨΓͷίετ)
✴ ࠂओͷ༧ࢉ ✴ ࠂදࣔճ ͨͩ͠ ΫϦοΫɾίϯόʔδϣϯ ৴͠ͳ͍ͱΘ͔Βͳ͍
Ұͭͷ࠷దԽͱͯ͠ղ͚Εྑ͍ ͷͰ͕͢ɺ͍͠ͷͰෳͷʹ ͚ͯ։ൃͯ͠·͢
ΫϦοΫ୯Ձͷௐ ✴ CPA (ίϯόʔδϣϯ͋ͨΓͷ֫ಘίετ) Λࠂओ ͷཁʹ߹ΘͤΔͷ͕త ✴ ͋ΔࠂΩϟϯϖʔϯΛ৴͢Δͱͯ͠ ✴ ίϯόʔδϣϯ͕औΕΔͷ୯Ձ্͍͛ͨ
՝ ✴ ྫ ✴ ίϯόʔδϣϯ100% ✴ ΫϦοΫ୯Ձ100ԁͳΒCPA100ԁͱͳΔ ✴ ͳΔ͘৴ͷॳظஈ֊ʹ͓͍ͯίϯόʔδϣϯ Λਪఆ͍ͨ͠
✴ ͔͠͠ɺ৴ॳظΫϦοΫͷαϯϓϧαΠζ͕খ ͘͞౷ܭతʹྑ͍ͱѱ͍ͱݴ͑ͳ͍
CVRਪఆ ✴ ίϯόʔδϣϯͷࣅͨಉ࢜Ͱ͋ΕɺCVRۙ͘ ͳΔͣɻ͜ΕΛࣄલͱͯ͑͠ͳ͍͔ ✴ ࣅͨಉ࢜ͷू߹ΫϥελϦϯάͰٻΊΔ ✴ ࣄલ֬Λಋೖ͠ɺϕΠζͷఆཧʹΑΓΫϦοΫ n ͷ
͏ͪ k ݸͷίϯόʔδϣϯΛ؍ଌͨ͠ޙͷ CVR ͷࣄޙ ֬Λߟ͑ΔɻCVRͷࣄલΛϕʔλBeta(α, β) ͱ͢ΔͱɺCVRͷࣄޙϕʔλʹͳΔɻ
݁Ռݕূ1 ✴ ༧ଌਫ਼ΦϑϥΠϯ࣮ݧͰݕূͰ͖Δ ✴ RMSE, Accuracy, Precision, F-value …. ✴
ϏδωεαΠυ͕Γ͍ͨͷɺ༧ଌ͕ͨΔࣄʹΑ ΔܦӦࢦඪͷӨڹ (ྫ: ച্) ༧ଌਫ਼͕YY্͕Γ·ͨ͠ ച্Ͳ͏ͳΔͷʜʜ
݁Ռݕূ2 ✴ ࣮ࡍʹCPA͕ඪCPAʹۙ͘ͳΔͷ͔ɺຊ൪ʹϦϦʔ εͯ͠ݕূ ✴ log(࣮CPA/ඪCPA) ΛطଘϩδοΫద༻Ωϟϯ ϖʔϯͱൺֱɻରͰݟΔͷɺ2ഒʹͳΔͷͱ ʹͳΔͷΛಉ͡ΠϯύΫτͱͯ͠ଊ͑ΔͨΊɻ ✴
log(࣮CPA/ඪCPA) ͷʹ͍ͭͯϊϯύϥϝτ ϦοΫݕఆͰ͕ࠩ͋Δࣄͷ֬ೝͱ4ҐͷࠩΛΈΔ
ެ։൛ʹ͖ͭআ ݁Ռ
৴͢Δࠂͷબ ✴ ഔମऀऩӹͷߴ͍ࠂΛଟ͘৴͍ͨ͠ ✴ ΫϦοΫ͕ଟ͘ίϯόʔδϣϯऔΕΔ ✴ ݁ՌతʹΫϦοΫ୯Ձ্͛ΒΕΔ ✴ ޮՌ͕ྑ͍͔ѱ͍͔৴͠ͳ͍ͱΘ͔Βͳ͍ ✴
ࠂͱࠂͷΈ߹Θͤແʹ͋ΔͷͰૣ͘ྑ ͍Έ߹ΘͤΛҾ͖͍ͯͨ ✴ ࣝͷ׆༻ͱ୳ࡧͷδϨϯϚ
୳ࡧͱ׆༻ ✴ ׆༻ ✴ ʹͱͬͯऩӹ͕ߴ͍ͱΘ͔͍ͬͯΔࠂΛ৴ ✴ ࠷ߴ͍ͷΈΛ৴ͨ͠Βྑ͍༁Ͱͳ͍ ✴ طଘͷόϯσΟοτΞϧΰϦζϜΛͦͷ··͍ ʹ͍͘
✴ ୳ࡧ ✴ ʹͱͬͯऩӹ͕ະͷࠂΛ৴͢Δ
ଟόϯσΟοτʹΑΔ Ξϓϩʔν ✴ εϩοτϚγϯͷϝλϑΝʔ ✴ εϩοτϚγϯ͕ෳ͋ͬͨ࣌ʹͲΕΛԿճҾ͘ ͖͔ ✴ ϝϦοτ ✴
ڭࢣσʔλ͕ແ͍ॴ͔ΒελʔτͰ͖Δ ✴ ৽͍͠ࠂΩϟϯϖʔϯ͕࣍ʑͱೖߘ͞ΕΔઃఆ
୳ࡧͷޮԽ ✴ ͋Δʹ͓͚Δɺଞͷࠂͱͷൺֱ ✴ ଞͷࠂͱൺֱͯ͠ऩӹ͕ѱ͍ͱΘ͔ͬͨ࣌Ͱ୳ ࡧΛΊΕྑ͍ ✴ ऩӹੑ(eCPM)ͷ্քΛ͏ ✴ ֬తʹߴͯ͘͜Ε͙Β͍ͩΖ͏ɺͱ͍͏
✴ ৴Λଓ͚ΔࣄͰԼ͕͍ͬͯ͘
ݕূ ✴ ͷऩӹ͕Ͳ͏มԽ͔ͨ͠Λݟ͍ͨ ✴ ͔͠͠ɺऩӹ࣌ؒมԽͷӨڹΛڧ͘ड͚Δ ✴ ظʹ༧ࢉফԽ͕͋ΔͨΊɺඞͣ৳ͼΔ ✴ ୯७ʹϩδοΫมߋલޙͰൺֱͰ͖ͳ͍
ϥϯμϜԽൺֱࢼݧʹΑΔݕূ ϩδοΫͷมߋʹΑΔհೖ σʔλαϯϓϧɺԣ࣠࣌ؒ ࠂΛ܈ʹ͚ͯσʔλΛऔΔ
݁Ռ ެ։൛ʹ͖ͭআ
͋Γ͕ͱ͏͍͟͝·ͨ͠