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
推薦システムと多目的最適化
Search
Sekine Hiroto
February 25, 2021
Science
2.7k
2
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
推薦システムと多目的最適化
推薦システムと多目的最適化の紹介
Sekine Hiroto
February 25, 2021
More Decks by Sekine Hiroto
See All by Sekine Hiroto
atmacup8 振り返り会登壇資料
hiroto0227
0
450
WWW2020 online報告会
hiroto0227
0
680
Other Decks in Science
See All in Science
機械学習 - DBSCAN
trycycle
PRO
0
2.1k
データベース06: SQL (3/3) 副問い合わせ
trycycle
PRO
1
1.2k
共生概念の整理と AIアライメントの構想
hiroakihamada
0
350
機械学習 - ニューラルネットワーク入門
trycycle
PRO
0
1.3k
Conversation is the New Dashboard: 属人性を排除する第4世代BIツールの勢力図
shomaekawa
1
690
Wet Active Matter
rajeshrinet
0
250
データベース01: データベースを使わない世界
trycycle
PRO
1
1.5k
データベース03: 関係データモデル
trycycle
PRO
1
880
機械学習 - 授業概要
trycycle
PRO
0
660
データベース02: データベースの概念
trycycle
PRO
2
1.4k
プロジェクト「Azayaka」のSARの数式とジオメトリ
syuchimu
0
480
バランスって大事だね
akasan
1
150
Featured
See All Featured
Automating Front-end Workflow
addyosmani
1369
210k
The Curious Case for Waylosing
cassininazir
1
550
Agile Leadership in an Agile Organization
kimpetersen
PRO
0
270
The Illustrated Guide to Node.js - THAT Conference 2024
reverentgeek
1
550
Templates, Plugins, & Blocks: Oh My! Creating the theme that thinks of everything
marktimemedia
31
2.9k
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
360
31k
Visualization
eitanlees
153
17k
The AI Revolution Will Not Be Monopolized: How open-source beats economies of scale, even for LLMs
inesmontani
PRO
3
3.7k
Rebuilding a faster, lazier Slack
samanthasiow
85
9.7k
Sam Torres - BigQuery for SEOs
techseoconnect
PRO
0
560
Lightning talk: Run Django tests with GitHub Actions
sabderemane
0
290
Agile Actions for Facilitating Distributed Teams - ADO2019
mkilby
0
290
Transcript
ਪનγεςϜͱଟత࠷దԽ !ίωώτϚϧγΣ0/-*/& 4FLJOF)JSPUP
ࣗݾհ w ؔࠜ༟ਓ 4FLJOF)JSPUP ▪︎ 5XJUUFS!OEOUP ▪︎ (JUIVC!IJSPUP w
8BOUFEMZͰσʔλαΠΤϯςΟετ ▪︎ ओʹσʔλੳɾਪનγεςϜͷϥϯΩϯά࡞ w େֶ࣌ݻ༗දݱநग़ͷݚڀ
ԿΛ͔͢ʁ w ଟత࠷దԽΛਪનγεςϜͰߦ͍͍ͨϞνϕʔγϣϯ w ύϨʔτ࠷దʹ͍ͭͯ w ଟత࠷దԽΛ༻͍ͨਪનγεςϜͷจհ
ʮؔ࿈ੑʯͱʮଟ༷ੑʯτϨʔυΦϑͷؔʹ͋Δ ଟత࠷దԽͷϞνϕʔγϣϯ w ؔ࿈ੑͷߴ͍ΞΠςϜ͔ΓΛ্Ґʹ࣋ͬͯ͘Δͱɺ ࣅͨΑ͏ͳΞΠςϜ͔Γ͕ొͯ͠͠·͏ɻ w ଟ༷ੑͷߴ͍ΞΠςϜΛ্Ґʹ࣋ͬͯ͘ΔͱɺϢʔβʔ ͕ڵຯͷͳ͍ΞΠςϜ্͕Ґʹొͯ͠͠·͏ɻ Ҏલॻ͍ͨϒϩάهࣄ IUUQTXXXXBOUFEMZDPNDPNQBOJFTXBOUFEMZQPTU@BSUJDMFT
ଟత࠷దԽ ؔ࿈ੑΛͰ͖Δ͚ͩԼ͛ͣʹଟ༷ੑΛ্͛ΒΕͳ͍͔ʁ
ਪનγεςϜͱଟత࠷దԽ w #FZPOE"DDVSBDZ&WBMVBUJOH3FDPNNFOEFS4ZTUFNTCZ $PWFSBHFBOE4FSFOEJQJUZ ▪︎ $PWFSBHF /PWFMUZ 4FSFOEJQJUZͳͲͷࢦඪ w ϚʔέοτϓϨΠεશମͷ࠷దԽ
▪︎ ,%%ͷ5VUPSJBMͰ4QPUJGZ͕ൃද͍ͯ͠Δɻ ▪︎ ෳͷεςʔΫϗϧμʔ͕͍Δ͜ͱΛఆ FUD6CFS&BUT "JSCOC w $53Ҏ֎ʹΑΔ࠷దԽ ▪︎ :PVUVCFΫϦοΫ͔Βࢹௌ࣌ؒΛ༧ଌ͢ΔϞσϧʹมߋ ▪︎ 0CKFDUJWFؒʹਖ਼ͷ૬͕ؔؔ͋Δ߹ͲͪΒ͔Λ࠷దԽ͢Εྑ͍͕ɺେମͷ 0CKFDUJWFಉ࢜τϨʔυΦϑͷؔʹ͋Δ "1BSFUP&pDJFOU"MHPSJUINGPS.VMUJQMF0CKFDUJWF0QUJNJ[BUJPO JO&$PNNFSDF3FDPNNFOEBUJPO'JHΑΓɻ
ύϨʔτ࠷ద 1BSFUPFGpDJFODZ w ยํΛ٘ਜ਼ʹ͠ͳ͚Εɺ͏ยํͷࢦ ඪ͕Α͘ͳΒͳ͍ঢ়ଶͷ͜ͱΛύϨʔτ ࠷దͱݺͿɻ ▪︎ " #
$ͦΕͧΕύϨʔτ࠷దͳͰ͋Δɻ 4FSWJDFTΛ্ͤ͞Α͏ͱͨ͠Βɺ(PPETԼ͕ͬ ͯ͠·͏ɻ ▪︎ %ύϨʔτ࠷దͳͰͳ͍ɻ(PPETΛԼ͛ͳ͘ ͯɺ4FSWJDFTΛ্ͤ͞Δ͜ͱ͕Ͱ͖Δɻ IUUQTXXXFDPOPNJDTIFMQPSHCMPHHMPTTBSZQBSFUPF⒏DJFODZΑΓ
ύϨʔτ࠷ద 1BSFUPFGpDJFODZ w จͷධՁͰύϨʔτ࠷దͷߟ͑ํ͕༻ ͞ΕΔɻ ▪︎ ϕʔεϥΠϯ ࢵ ͔ΒݟͨΒɺ/%$(ΛԼ͛ͣʹ(
/%$(Λ্ͤ͞ΒΕΔϞσϧ͕ଘࡏ͢Δɻ ▪︎ ఏҊख๏ ͕ύϨʔτ࠷దͰ͋ΓɺτϨʔυΦϑΛղ ܾͰ͖Δྑ͍ϞσϧͰ͋Δɻ "1BSFUP&pDJFOU"MHPSJUINGPS.VMUJQMF0CKFDUJWF0QUJNJ[BUJPO JO&$PNNFSDF3FDPNNFOEBUJPOͷ'JHVSFΑΓ 9͕࣠૯ྔͷ/%$( :͕࣠ΫϦοΫͷ/%$(Λ͍ࣔͯ͠Δɻ
w $MJDL4IBQJOHUP0QUJNJ[F.VMUJQMF0CKFDUJWFT "HBSXBMFUBM w Ϟνϕʔγϣϯ ▪︎ :BIPPʹ͓͚Δτοϓϖʔδʹ͓͘ίϯςϯπɺͦͷޙͷϢʔβʔͷߦಈࠨӈ͢Δɻ ▪︎ ίϯςϯπʹର͢ΔΫϦοΫϢʔβʔͷߦಈͷମݧͷग़ൃʹ͗ͣ͢ɺ࣮ࡍͷফඅ࣌ؒऩӹͳͲͷ
%PXO4USFBNΛ࠷େԽ͍ͨ͠ɻˠଟత࠷దԽ w ߦΘΕ͍ͯΔ͜ͱ ▪︎ ੍͖࠷దԽख๏ͷͱͯ͠ఆࣜԽ ଟత࠷దԽͱਪનγεςϜͷ࣮ྫ
4DBMBSJ[FE.VMUJ0CKFDUJWF1SPHSBN w 5PUBM$MJDLͱɺ%PXOTUSFBNͷॏΈ͚ͮΛͱΓɺҰͭͷ0CKFDUJWFͱͯ͠ѻ ͏ख๏ɻ ▪︎ Е͔ΒͷΛͱΓɺЕ͕খ͍͞΄Ͳ%PXOTUSFBNͷࢦඪΛॏཁࢹ͢Δɻ ▪︎ ύϨʔτ࠷దͳղΛΛௐ͍ͯΔΘ͚Ͱͳ͘ɺͦͷղΑΓύϨʔτ࠷దͳղ͕ଘࡏ͢ΔՄೳੑ͕ ͋Δɻ ▪︎
ෳͷ%PXOTUSFBNࢦඪΛվળ͍ͨ͠߹ෳࡶʹͳΔɻ
͖݅࠷దԽΛ༻͍ͨղ๏ w 5PUBM$MJDLT͕Ͳ͜·ͰԼ͕͍͍͔ͬͯΛܾఆͯ͠ɺ ͦͷதͰ%PXOTUSFBNΛ࠷େԽ͢ΔΑ͏ʹֶश͢Δɻ ▪︎ తؔͱ੍݅ΛઢܗͰදͤΕɺઢܗܭըͷΈͰղ͘ ͜ͱ͕Ͱ͖Δɻ ▪︎ ڐ༰Ͱ͖ΔϥΠϯΛܾΊΕྑ͍ͷͰɺϏδωεʹԠ༻͍͢͠ɻ ▪︎
݅૿͑ͯಉ༷ʹղ͘͜ͱ͕Ͱ͖Δɻ
ଟత࠷దԽͷղ๏ w ઢܗॏΈ͚ 4DBMBSJ[FE.00 w ͖݅࠷దԽ $POTUSBJOFE0QUJNJ[BUJPO ▪︎
ઢܗܭը0CKFDUJWFͱ͕݅࣍ࣜͰॻ͔Ε͍ͯΔ ▪︎ ࣍ܭը0CKFDUJWF͕࣍ɺͦΕҎ֎͕ઢܗͷ݅Ͱॻ͔Ε͍ͯΔ w ϥάϥϯδϡରɾ,,5݅ʜ ▪︎ ඇઢܗܭըͦͷଞͷ w ਐԽܭࢉͳͲͰղ͍͍ͯΔจ͋ͬͨɻ
·ͱΊɾײ w ࣮ࡍʹಇ͍ͯΈͯɺۀʹτϨʔυΦϑͷ͕͖వ͏͜ͱΛ࣮ײ͍ͯ͠ ΔɻͦͷτϨʔυΦϑΛ͍͍ײ͡ʹղܾ͢ΔͨΊʹ.-͕༻Ͱ͖ΔͷͰͳ͍ ͔ͱߟ͍͑ͯΔɻ w ΞϓϦέʔγϣϯʹΑͬͯ࠷దԽ͍ͨ͠PCKFDUJWFҟͳΔɻࣗͷΞϓϦέʔ γϣϯʹ͋ͬͨ࠷దԽΛߦ͍͍ͨɻ
Ҿ༻ w IUUQTCMPHZPVUVCFOFXTBOEFWFOUTZPVUVCFOPXXIZXFGPDVTPOXBUDIUJNF w IUUQTFOHVCFSDPNVCFSFBUTSFDPNNFOEJOHNBSLFUQMBDF w IUUQTXXXFDPOPNJDTIFMQPSHCMPHHMPTTBSZQBSFUPFGpDJFODZ w 9JBP-JOFUBM"QBSFUPFGpDJFOUBMHPSJUINGPSNVMUJQMFPCKFDUJWF PQUJNJ[BUJPOJOFDPNNFSDFSFDPNNFOEBUJPO*O1SPDFFEJOHTPGUIFUI"$.
$POGFSFODFPO3FDPNNFOEFS4ZTUFNT 3FD4ZT w %FFQBL"HBSXBMFUBM$MJDLTIBQJOHUPPQUJNJ[FNVMUJQMFPCKFDUJWFT*O 1SPDFFEJOHTPGUIFUI"$.4*(,%%JOUFSOBUJPOBMDPOGFSFODFPO,OPXMFEHF EJTDPWFSZBOEEBUBNJOJOH ,%%