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
Amazon Personalizeではじめるレコメンドサービス
Search
tandfy
November 29, 2019
Technology
0
1.1k
Amazon Personalizeではじめるレコメンドサービス
HIGOBASHI.AWS 第12回 活用編のセッション「Amazon Personalizeではじめるレコメンドサービス」の資料です。
tandfy
November 29, 2019
Tweet
Share
More Decks by tandfy
See All by tandfy
アプリから集まるイベントデータのリアルタイム処理入門
tandfy
0
1.5k
Amazon SageMakerの最新アップデートの紹介
tandfy
1
890
DeepRacerで学ぶ機械学習 1.1
tandfy
0
980
DeepRacerで始める機械学習
tandfy
1
1.7k
DeepRacerでまなぶ強化学習
tandfy
1
1.4k
Amazon SageMakerではじめる物体検出
tandfy
1
1k
Other Decks in Technology
See All in Technology
PicoRabbit: a Tiny Presentation Device Powered by Ruby
harukasan
PRO
2
240
技術者はかっこいいものだ!!~キルラキルから学んだエンジニアの生き方~
masakiokuda
2
270
日経電子版 for Android の技術的課題と取り組み(令和最新版)/android-20250423
nikkei_engineer_recruiting
0
420
白金鉱業Meetup_Vol.18_AIエージェント時代のUI/UX設計
brainpadpr
1
170
4/17/25 - CIJUG - Java Meets AI: Build LLM-Powered Apps with LangChain4j (part 2)
edeandrea
PRO
0
120
Conquering PDFs: document understanding beyond plain text
inesmontani
PRO
0
190
SnowflakeとDatabricks両方でRAGを構築してみた
kameitomohiro
1
440
彩の国で始めよう。おっさんエンジニアから共有したい、当たり前のことを当たり前にする技術
otsuki
0
150
Would you THINK such a demonstration interesting ?
shumpei3
1
230
Terraform Cloudで始めるおひとりさまOrganizationsのすゝめ
handy
2
180
今日からはじめるプラットフォームエンジニアリング
jacopen
5
850
AIエージェント開発手法と業務導入のプラクティス
ykosaka
5
1.6k
Featured
See All Featured
Designing for humans not robots
tammielis
252
25k
What’s in a name? Adding method to the madness
productmarketing
PRO
22
3.4k
Responsive Adventures: Dirty Tricks From The Dark Corners of Front-End
smashingmag
251
21k
Dealing with People You Can't Stand - Big Design 2015
cassininazir
367
26k
Code Review Best Practice
trishagee
67
18k
"I'm Feeling Lucky" - Building Great Search Experiences for Today's Users (#IAC19)
danielanewman
227
22k
[Rails World 2023 - Day 1 Closing Keynote] - The Magic of Rails
eileencodes
34
2.2k
Designing Dashboards & Data Visualisations in Web Apps
destraynor
231
53k
Unsuck your backbone
ammeep
670
57k
Evolution of real-time – Irina Nazarova, EuRuKo, 2024
irinanazarova
8
670
Building Adaptive Systems
keathley
41
2.5k
Gamification - CAS2011
davidbonilla
81
5.2k
Transcript
)*(0#"4)*"84 ୈճ׆༻ฤ େᖒ༐ే "NB[PO1FSTPOBMJ[FͰ͡ΊΔϨίϝϯυαʔϏε
ࣗݾհ େᖒ༐ే σʔλΞφϦςΟΫεࣄۀຊ෦ΠϯςάϨʔγϣϯ෦ ػցֶशνʔϜΤϯδχΞ!େࡕ
ࠓ͢༰ wύʔιφϥΠζͱ wϨίϝϯυͱ wϨίϝϯυαʔϏεΛΣϒΞϓϦʹΈࠐΉྫ w"NB[PO1FSTPOBMJ[Fͱ w"NB[PO1FSTPOBMJ[FͷྲྀΕ w"NB[PO1FSTPOBMJ[Fͷྉۚ w"NB[PO1FSTPOBMJ[F4BNQMFT
εϥΠυޙͰೖख͢Δ͜ͱ͕ग़དྷ·͢ͷͰ ൃදதͷ༰ΛϝϞ͢Δඞཁ͋Γ·ͤΜɻ ࣸਅࡱӨΛ͢Δ߹ ϑϥογϡɾγϟολʔԻ͕ग़ͳ͍Α͏ʹྀ͍ͩ͘͝͞ Attention
ύʔιφϥΠζͱ
ύʔιφϥΠζͱ ύʔιφϥΠθʔγϣϯʢӳQFSTPOBMJ[BUJPOʣɺύʔιφϥΠζ ʢQFSTPOBMJ[Fʣͱ͍͏ಈࢺͷ໊ࢺܗͰ͋ΓɺʮԿ͔Λݸʑਓ͚ʹΧελϚΠζ͢Δ ͜ͱʯΛҙຯ͢Δɻ By ϑϦʔඦՊࣄయʰΟΩϖσΟΞʢWikipediaʣʱ
Ϩίϝϯυͱ
Ϩίϝϯυͱ ϢʔβͷΈߦಈʹ߹ΘͤͨΞΠςϜΛհ͢Δ͜ͱ
ϢʔβϕʔεϨίϝϯυ
ΞΠςϜϕʔεϨίϝϯυ
Ϩίϝϯυͱ ϢʔβͷΈߦಈʹ߹ΘͤͨΞΠςϜΛհ͢Δ w͓͢͢Ί͢Δ͜ͱͰϢʔβʹΞΠςϜͷൃݟΛଅ͢ wϦιʔεͷ༗ޮ׆༻ wϢʔβମݧͷ࠷దԽ ͳͲɹɹɹ
ϨίϝϯυαʔϏεΛ ΣϒΞϓϦʹΈࠐΉྫ
Ϩίϝϯυ"1*ͷೖग़ྗྫ {"userId": "13"} ϨίϝϯυAPI { "recommendedItems": [ “102", "209",
"12", “3” ] }
ϨίϝϯυαʔϏεΛΣϒΞϓϦʹΈࠐΉྫ API Gateway Lambda
"NB[PO1FSTPOBMJ[FΛ͏߹ͷྫ ϦΞϧλΠϜϨίϝϯσʔγϣϯ API Gateway Lambda Personalize
"NB[PO1FSTPOBMJ[FΛ͏߹ͷྫ όονϨίϝϯσʔγϣϯ API Gateway Lambda Lambda DynamoDB S3 Personalize
"NB[PO1FSTPOBMJ[Fͱ
"NB[PO1FSTPOBMJ[Fͱ ϑϧϚωʔδυͳϨίϝϯυαʔϏε wσʔλͷੵ͔ΒϞσϧͷֶशɺϨίϝϯυ"1*·ͰରԠ wϦΞϧλΠϜͱόονͰͷϨίϝϯυʹରԠ w"NB[PODPNͰഓΘΕ͖ٕͯͨज़Λ༻Ͱ͖Δ wػցֶशͷࣝෆཁ
"NB[PO1FSTPOBMJ[Fͱ https://aws.amazon.com/personalize/
"NB[PO1FSTPOBMJ[Fͷ༻ޠ wσʔληοτάϧʔϓιϦϡʔγϣϯ࡞ʹ༻͢ΔσʔληοτͷΈ ߹Θͤɻ6TFS *UFN 6TFSJUFNJOUFSBDUJPOͷछྨͷσʔληοτͰߏ wϨγϐͲͷΑ͏ʹσʔληοτΛॲཧ͠ɺͲΜͳΞϧΰϦζϜΛ͏͔ͷఆٛ wιϦϡʔγϣϯϨίϝϯυϞσϧɻσʔληοτ͔ΒϨγϐΛͱʹ࡞ wΩϟϯϖʔϯιϦϡʔγϣϯͷϗεςΟϯάڥɻϨίϝϯυ"1*
ରԠ͍ͯ͠ΔϨίϝϯυ Ϩγϐ ͷछྨ w64&3@1&340/"-*;"5*0/ࢦఆͨ͠Ϣʔβͷ͓͢͢ΊΞΠςϜ Λ্ҐOݸٻΊΔ w1&340/"-*;&%@3"/,*/(ࢦఆͨ͠Ϣʔβͷ͓͢͢Ί߹͍ ʹԠͨ͡ॱ൪ʹࢦఆͨ͠ΞΠςϜҰཡΛͳΒΔ w3&-"5&%@*5&.4ࢦఆͨ͠ΞΠςϜʹྨࣅ͢ΔΞΠςϜΛ্ҐOݸٻΊ Δ
"NB[PO1FSTPOBMJ[FͷྲྀΕ
جຊతͳྲྀΕ
σʔληοτάϧʔϓͷ࡞
σʔληοτάϧʔϓͷ࡞ σʔληοτ
σʔλಡΈࠐΈ
Πϕϯτͷੵ
Πϕϯτͷੵ https://docs.aws.amazon.com/personalize/latest/dg/recording-events.html
ιϦϡʔγϣϯ࡞
ιϦϡʔγϣϯόʔδϣϯ࡞ 'JOJTI͘͠$SFBUFTPMVUJPOWFSTJPOΛΫϦοΫ͢Δͱ ιϦϡʔγϣϯόʔδϣϯ͕֬ೝͳ͠Ͱ࡞͞ΕΔͷͰҙ ιϦϡʔγϣϯ࡞ޙ ιϦϡʔγϣϯը໘
Ωϟϯϖʔϯ࡞
ϦΞϧλΠϜϨίϝϯσʔγϣϯ https://docs.aws.amazon.com/personalize/latest/dg/getting-recommendations.html Ϛωδϝϯτίϯιʔϧ AWS Python SDK
όονϨίϝϯσʔγϣϯ
"NB[PO1FSTPOBMJ[Fͷྉۚ
ྉۚ σʔλͷऔΓࠐΈͱτϨʔχϯά wσʔλͷऔΓࠐΈ64%(# wτϨʔχϯά64%τϨʔχϯά࣌ؒ ྫ w݄ʹ߹ܭ(#ͷσʔλΛಡΈࠐΈ 64% wʹճιϦϡʔγϣϯόʔδϣϯΛ࡞ɻ̍ճͷτϨʔχϯά࣌ؒฏۉ࣌ؒɻ
ϲ݄ɻ 64%
ྉۚ ϦΞϧλΠϜϨίϝϯσʔγϣϯ ϲ݄͋ͨΓͷ514࣌ؒ͋ͨΓͷྉۚ w࠷ॳͷສ514࣌ؒ·Ͱ64% w࣍ͷສ514࣌ؒ·Ͱ64% wສ514࣌ؒҎ߱64% ྫ w ࣌ؒ
Ͱ֤࣌ؒ 514࣌ؒ ফඅ 64% ※ TPS: 1ඵ͋ͨΓͷτϥϯβΫγϣϯ
ྉۚ όονϨίϝϯσʔγϣϯ ϲ݄͋ͨΓͷϨίϝϯσʔγϣϯઍ݅͋ͨΓͷྉۚ w࠷ॳͷઍສ݅64% w࣍ͷԯઍສ݅64% wԯ݅Ҏ߱64% ྫ wϲ݄
ؒʹສϢʔβͷϨίϝϯσʔγϣϯΛ࡞ 64% ※ ϢʔβϕʔεͰ͋Εॲཧ͞ΕͨϢʔβɺΞΠςϜϕʔεͰ͋Εॲཧ͞ΕͨΞΠςϜʹΑΔྉۚ
Amazon Personalizeʹ͍ͭͯͬͱΓ͍ͨ
"NB[PO1FSTPOBMJ[F4BNQMFT
"NB[PO1FSTPOBMJ[F4BNQMFT https://github.com/aws-samples/amazon-personalize-samples/tree/master/diagnose
"NB[PO1FSTPOBMJ[F4BNQMFT https://github.com/aws-samples/amazon-personalize-samples/tree/master/diagnose
"NB[PO1FSTPOBMJ[F4BNQMFT https://github.com/aws-samples/amazon-personalize-samples/tree/master/diagnose
"NB[PO1FSTPOBMJ[F4BNQMFT https://github.com/aws-samples/amazon-personalize-samples/tree/master/diagnose
·ͱΊ
·ͱΊ "NB[PO1FSTPOBMJ[FϑϧϚωʔδυͳϨίϝϯυ αʔϏε wػցֶशͷࣝෆཁͰɺBNB[PODPNͰഓΘΕ͖ٕͯͨज़ ͕͑Δ wػցֶशͷ͕ࣝ͋Δͱνϡʔχϯά͕༰қʹͳΔ wϦΞϧλΠϜ"1*ͱͯ͠ɺόονͰ͑Δ
None