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
Review: "Recommending Investors for Crowdfundin...
Search
yag_ays
July 09, 2014
Research
1.2k
1
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
Review: "Recommending Investors for Crowdfunding Projects"
http://yagays.github.io/blog/2014/07/09/www2014review-kickstarter/
yag_ays
July 09, 2014
More Decks by yag_ays
See All by yag_ays
対話型AIの構築における工夫とデータセットの重要性 - 素早くデータを構築し検証するためには
yag_ays
3
7.3k
目と耳を持った自然言語処理 - スタートアップにおける価値創出のために
yag_ays
1
3.9k
時間情報表現抽出とルールベース解析器のこれから / Temporal Expression Analysis in Japanese and Future of Rule-based Approach
yag_ays
1
2.4k
Pythonで始める ドキュメント・インテリジェンス入門 / Introduction to Document Intelligence with Python
yag_ays
9
9.4k
"医者の言葉、患者の言葉、エンジニアの言葉" / MNTSQ Ubie Vertical ai
yag_ays
3
14k
LT at nlp_career
yag_ays
0
360
Other Decks in Research
See All in Research
PGDM: Physically Guided Diffusion Model for L Downscaling
satai
3
510
学術バーQ AI研究最前線:自己教師あり学習による画像モデルの事前学習
naok615
0
140
SLAMはどこまで解決されたのか?
tomonom
0
1.4k
COMETAを用いたデータ民主化運動の歴史
sazimai
0
270
OWASP AISVS - C7
shiell
2
810
某助成金プロジェクト採択に向けて企業研究所のアウトリーチ専任者がやったこと
afroscript
0
190
NLP colloquium: AI Safety Survey
kanekomasahiro
2
1.1k
論文読み会 SNLP2026 Tau2-Bench: Evaluating Conversational Agents in a Dual-Control Environment
s_mizuki_nlp
0
290
[SNLP2026] Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
wataruuuuu
0
330
Santé et fertilité des sols : ce que nous disent les pratiques dans les systèmes de polyculture-élevage
institudelelevage
PRO
0
100
[CV勉強会@関東 CVPR2026] PSDesigner: Automated Graphic Design with a Human-Like Creative Workflow / kantocv 67th CVPR 2026
shunk031
0
360
横浜市長(山中氏)の言動にかかる第三者による調査報告書
sishi2026
0
580
Featured
See All Featured
Marketing to machines
jonoalderson
1
5.8k
Joys of Absence: A Defence of Solitary Play
codingconduct
1
530
Mind Mapping
helmedeiros
1
390
Scaling GitHub
holman
464
140k
Building the Perfect Custom Keyboard
takai
2
890
The agentic SEO stack - context over prompts
schlessera
0
960
The Director’s Chair: Orchestrating AI for Truly Effective Learning
tmiket
1
310
Testing 201, or: Great Expectations
jmmastey
46
8.3k
Agile Leadership in an Agile Organization
kimpetersen
PRO
0
270
The Success of Rails: Ensuring Growth for the Next 100 Years
eileencodes
47
8.4k
Become a Pro
speakerdeck
PRO
31
6.3k
Creating an realtime collaboration tool: Agile Flush - .NET Oxford
marcduiker
35
2.6k
Transcript
Recommending Investors for Crowdfunding Projects WWW 2014 Jisun An, Daniele
Quercia, Jon Crowcroft จհ @yag_ays 1
ࠓճհ͢Δจͷ֓ཁ • “Recommending Investors for Crowdfunding Project” [Jisun+ 2014] •
WWW 2014 (Seoul, KOREA) • Jisun AnͷYahoo Labs in Barcelona Πϯλʔϯγοϓͷࣄ ! • ࠷ऴతͳඪɿKickstarterͷϑΝϯμʔͱग़ࢿऀͷϚονϯά • KickstarterͷϓϩδΣΫτग़ࢿऀͷੳϝΠϯͳͱ͜Ζ͕͋Δ 2
• ΫϥυϑΝϯσΟϯά • 2012ʹूΊͨࢿ૯ֹ$320 million • c.f. ࢿՈ/ϕϯνϟʔΩϟϐλϧʹΑΔग़ࢿ ! •
ϑΝϯμʔඪֹۚΛઃఆͯ͠ࢿΛืΔ • ࢿՈࢿֹۚʹԠͯ͡ใु͕Β͑Δ • e.g. $100ࢿͰ1ݸϓϨθϯτɼ$300ࢿͰ5ݸϓϨθϯτ Kickstarterͱ https://www.kickstarter.com/help/style_guide 3
Kickstarterޭࣄྫ • Oculus Rift • 9,522 / $ 2,437,429 •
Memoto (Narrative Clip) • 2,871 / $ 550,189 • Little Witch Academia 2 • 7,938 / $ 625,518 https://www.kickstarter.com/projects/1523379957/oculus-rift-step-into-the-game https://www.kickstarter.com/projects/martinkallstrom/memoto-lifelogging-camera https://www.kickstarter.com/projects/1311401276/little-witch-academia-2 4
Kickstarterͷಛघੑɿࢿʹࣦഊͨ͘͠ͳ͍͚Ͳ… • All or Nothing • ඪֹۚʹୡ͠ͳ͚ΕϓϩδΣΫτࣦഊɼࢿۚશֹฦ٫ • ϓϩδΣΫτͷޭ/ࣦഊʹؔΘΒͣɼࢿऀଛΛ͠ͳ͍ !
• ιʔγϟϧͳଆ໘ • ॳظࢿʹ༑ୡ͕ଟ͍ʢ20-40%ͱ͍͏ࢉग़ʣ • ेͳࢿՈΛूΊΒΕͳ͍ͱϓϩδΣΫτ͕ࣦഊ͍͢͠ 5
จͷྲྀΕ • Kickstarterʹ͓͚ΔࢿՈͷڍಈʹ͍ͭͯԾઆΛཱͯΔ • KickstarterTwitterͷใ͔ΒԾઆΛݕূ͢Δ • ࣗಈతʹϑΝϯμʔͱࢿՈͷϚονϯάΛߦ͏ϞσϧΛཱͯΔ 6
Kickstarterͷσʔλऩू/ղੳ Dataset and Pledging Behavior 7
σʔληοτ • Kickstarter͔ΒΫϩʔϧ • 20137݄͔Β10݄ʹొ͞Εͨͷ • USA෦ͷϑΝϯυͷΈ • ߹ܭ 1,149ϓϩδΣΫτ/
78,460ग़ࢿऀ • Twitter͔ΒΫϩʔϧ • ϓϩδΣΫτʹݴٴ͢ΔtweetͷΈ • ߹ܭ71,315 tweetΛऩू 8 (Average)
ࢿՈͷߏ • ߹ܭ78,460ਓͷग़ࢿऀ ! • 4ճະຬͷࢿΛͨ͠ਓ51% • ؾ·͙Εࢿऀ “Occasional Investors”
• 32ճҎ্ͷࢿΛͨ͠ਓ11% • ৗ࿈ࢿऀ “Frequent Investors” ؾ·͙ΕࢿՈ ৗ࿈ࢿՈ 9
ϓϩδΣΫτͷΧςΰϦʔ͝ͱͷࢿऀͷ༁ • Music, DanceͳͲ୯ൃͷग़ࢿ͕ଟ͍ • Gamesৗ࿈ࢿՈ͕ଟ͍ˠେنͳήʔϜ։ൃͷืूͳͲ 10
ࢿՈͷڍಈʹؔ͢ΔԾઆ • ৗ࿈ࢿՈҎԼͷΑ͏ͳੑ࣭ͷϓϩδΣΫτʹࢿ͍͢͠ • ใ͕සൟʹΞοϓσʔτ͞ΕΔ • ϑΝϯμʔ͕ࢿՈͷ࣭ʹ͑Δ • ࢿͷใु͕ྑ͍ •
ߴ͍ࢿֹۚͷϓϩδΣΫτৗ࿈ࢿՈʹࢿ͞Ε͍͢ • ϩʔΧϧͳϓϩδΣΫτؾ·͙ΕࢿՈʹࢿ͞Ε͍͢ • ૣ͘ࢿΛूΊΔϓϩδΣΫτৗ࿈ࢿՈʹࢿ͞Ε͍͢ • ৗ࿈ࢿՈࣗͷڵຯ͋ΔϓϩδΣΫτʹࢿ͍͢͠ 11
ϓϩδΣΫτͰ͢Δಛྔ • ϓϩδΣΫτͷߋ৽ • ϑΝϯμʔͷίϝϯτ • ใुͷϨϕϧ • ΣϒαΠτͷ༗ແ •
ඪֹۚ ($) • ཧతͳڑͷΒ͖ͭ • ϓϩδΣΫτͷ 12
ͦΕͧΕͷಛྔ͝ͱͷࢿऀͷ༁ ϓϩδΣΫτͷߋ৽ ϑΝϯμʔͷίϝϯτ ใुͷϨϕϧ 13 ಛྔͷ͕૿͑Δ΄Ͳʹৗ࿈ࢿՈͷׂ߹͕૿Ճ͢Δ
ͦΕͧΕͷಛྔ͝ͱͷࢿऀͷ༁ (cont’d) ඪֹۚ ($) ཧతͳڑͷΒ͖ͭ ϓϩδΣΫτͷ 14 ඪֹ͕ۚ૿Ճ͢Δ΄Ͳʹ ؾ·͙ΕࢿՈͷׂ߹͕ݮগ͢Δ ؾ·͙ΕࢿՈͷࢿ
ʹӨڹ͞Εͳ͍
ԾઆɿࢿՈͷڵຯͱࢿઌͷؔ • LDA (Latent Dirichlet Allocation) ΛͬͨτϐοΫͷྨࣅ • ࢿͨ͠ϓϩδΣΫτͷ֓ཁͱࢿՈͷTweetͷ༰ (200
tweetsఔ) • (τϐοΫṖ) ! • ৗ࿈ࢿՈࣗͷڵຯ͋ΔෳͷτϐοΫʹࢿ͕ͪ͠ • ؾ·͙ΕࢿՈࣗͷڵຯͱؔͳ͍τϐοΫʹࢿ or ͻͱͭͷτ ϐοΫʹภͬͯࢿ͍ͯ͠Δ 15
͜͜·Ͱͷ·ͱΊ • ৗ࿈ࢿՈ (4ϲ݄ؒʹ32ճҎ্ࢿͨ͠Frequent Investors) • Α͘Ϛωʔδϝϯτ͞Εɼඪֹ͕ۚߴ͘ɼࣗͷڵຯʹ߹͏ϓϩδΣ Ϋτʹࢿ͢Δʹ͋Δ • ௨ৗͷࢿՈͷΑ͏ͳڍಈΛࣔ͢
• ؾ·͙ΕࢿՈ (4ϲ݄ؒʹ4ճະຬͷࢿΛͨ͠Occasional Investors) • ࠓճબΜͩಛྔʹ͋·ΓӨڹ͞ΕͣࢿΛߦ͏ • ࢿͱ͍͏ΑΓدͱ͍͏ײ͡ 16
ืूऀͷ༑ୡ͕ଟ͍΄Ͳ୯ൃͷग़ࢿׂ߹͕૿͑Δ • ϑΝϯμʔͷFacebookͷ༑ୡͷͱ ࢿՈͷ༁ͷؔ • ҼՌؔෆ໌ ! • Facebookͷ༑ୡͷ͕ଟ͍΄Ͳؾ·͙ ΕࢿՈΛूΊ͍͢
• Facebookͷ༑ୡͷ͕গͳ͍΄Ͳৗ࿈ ࢿՈΛूΊ͍͢…??? 17
ϑΝϯμʔͱग़ࢿऀͷϚονϯά Recommending Investors 18
ϓϩδΣΫτͱࢿՈͷϚονϯάํ๏ • Twitterʹ͍ΔજࡏతͳࢿՈʹରͯ͠ϓϩδΣΫτΛਪન͢Δ • KickstarterͷϢʔβ໊͔ΒTwitterͷΞΧϯτΛඥ͚ • 7,429ਓͷࢿՈ͕891ͷϓϩδΣΫτʹࢿͨ͠σʔλΛݩʹਪન • ࢿऀ͕ࢿ͢Δ= 1ɼࢿऀ͕ࢿ͠ͳ͍
= 0ͱͨ͠ೋྨ ! • Ϋϩʔϧͨ͠σʔλਖ਼ྫͷΈͳͷͰɼϥϯμϜͰෛྫΛࠞͥΔ • ਖ਼ྫෛྫͷׂ߹50-50 19
Ϩίϝϯσʔγϣϯͷख๏ͱධՁํ๏ • ੑೳධՁ͢Δख๏4ͭ : {LR, SVM-linear, SVM-poly, SVM-RBF} • ϩδεςΟοΫճؼʢLRʣ
• 3छྨͷΧʔωϧΛ༻͍ͨSVM ʢLinear, polynomial, RBFʣ ! • ධՁɿ5-fold cross validation • σʔληοτͷ80%Ͱֶशˠ20%ͰධՁ Λ5ճ܁Γฦͯ͠ධՁΛฏۉ 20
༻͢Δಛྔ • Static Feature: ϓϩδΣΫτൃ࣌ʹΘ͔Δಛྔ • ඪֹۚɾใुͷϨϕϧɾաڈʹࢿͨ͠ϓϩδΣΫτͷΧςΰϦɾ TwitterͷߘʹΑΔࢿՈͷڵຯ • Dynamic
Feature: ϓϩδΣΫτͷਐߦʹΑͬͯ໌ͯ͘͠Δಛྔ • ϓϩδΣΫτͷޭɾߋ৽ɾίϝϯτɾཧతͳڑͷΒ͖ͭ 21
ϨίϝϯσʔγϣϯͷධՁ • RBFΧʔωϧΛ༻͍ͨSVM • Static͚ͩͷಛྔ ɿ82% • Dynamic͚ͩͷಛྔɿ73% ! •
StaticͱDynamicΛ߹ΘͤΔͱACC 84% ! • ਖ਼ྫෛྫͷׂ߹͕50-50ɿϕʔεϥΠϯ50% ACC : Accuracy P : Precision R : Recall F1 : F-score AUC : ROCۂઢԼͷ໘ੵ 22
Ͳͷಛྔ͕ޮ͍͍ͯΔͷ͔ʁ • C : ίϝϯτ • R : ใुͷϨϕϧ •
S : ཧతͳڑͷΒ͖ͭ • G: • E : ΧςΰϦʔͷҰக • TS: ڵຯ͋ΔτϐοΫͱͷྨࣅ →EͱTS͕ਫ਼্ʹد༩͍ͯ͠Δ 23
จͷ·ͱΊ • ࢿՈʹΑͬͯKickstarterͷࢿελΠϧ͕ҧ͏ • ৗ࿈ࢿՈ৺తͳϓϩδΣΫτʹࢿ͢Δ • ؾ·͙ΕࢿՈدײ֮Ͱࢿ / ܳज़ʹؔ࿈ͨ͠ϓϩδΣΫτʹࢿ •
ࢿՈͱϓϩδΣΫτͷϚονϯάՄೳ • ࢿՈ͕ϓϩδΣΫτʹࢿΛ͢Δ͔Ͳ͏͔84%ͷਫ਼ͰਪଌՄೳ • ࢿՈͷڵຯ͋ΔΧςΰϦʔ༰͕Ϛονϯάʹڧ͘Өڹ͢Δ 24