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
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
Takashi Nishibayashi
July 11, 2017
Business
3
2k
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
Tweet
Share
More Decks by Takashi Nishibayashi
See All by Takashi Nishibayashi
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
110
論文紹介 Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models
hagino3000
0
850
論文紹介 Audience Size Forecasting Fast and Smart Budget Planning for Media Buyers
hagino3000
0
240
論文紹介 Towards a Fair Marketplace: Counterfactual Evaluation of the trade-off between Relevance, Fairness & Satisfaction in Recommendation Systems
hagino3000
1
630
論文紹介 Budget Management Strategies in Repeated Auctions (公開版)
hagino3000
2
290
論文紹介 A Request-level Guaranteed Delivery Advertising Planning: Forecasting and Allocation
hagino3000
1
120
論文紹介 Online Experimentation with Surrogate Metrics Guidelines and a Case Study
hagino3000
0
330
論文紹介 Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising
hagino3000
1
200
論文紹介 Balancing Relevance and Discovery to Inspire Customers in the IKEA App
hagino3000
0
730
Other Decks in Business
See All in Business
国内ランサムウェア3事例から学ぶ中小病院におけるサイバーセキュリティ対策 / Cybersecurity Learned from Cases
henryofficial
0
380
ラッコキーワード サービス紹介資料
rakko
0
68k
Schoo for Business インパクトレポート2025
schoo
0
370
チーム力を高める「ストロータワー」
chibanba1982
PRO
0
940
プロダクトエンジニアの世界観について語る
r5ni4
0
140
2024年度PoliPoliインパクトレポート(β版)/Impact Report 2024
polipoli
0
310
Top 07 Ways to connect QuickBooks Payroll Support Number
qbpayroll1
0
200
採用ピッチ資料|SBペイメントサービス株式会社
sbps
0
30k
VISASQ: ABOUT US
eikohashiba
15
510k
Talk to Someone At Expedi𝓪™️ USA Contact Numbers
travelcare
0
160
Leading Mark新卒採用資料
unno
0
2.7k
How to Fix Common Payroll Issues in QuickBooks Online – With Support Tips
herry898
0
120
Featured
See All Featured
Navigating Team Friction
lara
187
15k
Intergalactic Javascript Robots from Outer Space
tanoku
271
27k
A Modern Web Designer's Workflow
chriscoyier
695
190k
Fantastic passwords and where to find them - at NoRuKo
philnash
51
3.3k
StorybookのUI Testing Handbookを読んだ
zakiyama
30
5.9k
Git: the NoSQL Database
bkeepers
PRO
431
65k
10 Git Anti Patterns You Should be Aware of
lemiorhan
PRO
656
60k
Build The Right Thing And Hit Your Dates
maggiecrowley
37
2.8k
How to train your dragon (web standard)
notwaldorf
96
6.1k
Connecting the Dots Between Site Speed, User Experience & Your Business [WebExpo 2025]
tammyeverts
8
370
Let's Do A Bunch of Simple Stuff to Make Websites Faster
chriscoyier
507
140k
Templates, Plugins, & Blocks: Oh My! Creating the theme that thinks of everything
marktimemedia
31
2.4k
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·ͨ͠