Upgrade to Pro — share decks privately, control downloads, hide ads and more …

how to improve search

Avatar for genta kaneyama genta kaneyama
October 17, 2014
Technology
8
2k

how to improve search

at AWS cloudsearch seminor in japan (http://kokucheese.com/event/index/220172)

Avatar for genta kaneyama

genta kaneyama

October 17, 2014
Tweet

More Decks by genta kaneyama

See All by genta kaneyama
MOSHでの生成AI活用の取り組み
Avatar for genta kaneyama penguinco
0
160
search and community in cookpad 2019
Avatar for genta kaneyama penguinco
2
1.9k
行動ログでプロダクトを改善するには/exploit user behavior for product
Avatar for genta kaneyama penguinco
4
9.2k
Solr @ CROSS2015 C4
Avatar for genta kaneyama penguinco
1
1.4k
solrとelasticsearchの比較
Avatar for genta kaneyama penguinco
15
5.6k

Other Decks in Technology

See All in Technology
広島発！スタートアップ開発の裏側
Avatar for Sankyo Toshio tsankyo
0
130
[kickflow]20250319_少人数チームでのAutify活用
Avatar for shin otouhujej
0
180
生成AIによるデータサイエンスの変革
Avatar for Takaaki Yayoi taka_aki
0
3.1k
o11yツールを乗り換えた話
Avatar for tak0x00 tak0x00
2
1.7k
Telemetry APIから学ぶGoogle Cloud ObservabilityとOpenTelemetryの現在 / getting-started-telemetry-api-with-google-cloud
Avatar for 逆井（さかさい） k6s4i53rx
0
170
MCPサーバーを活用したAWSコスト管理
Avatar for Kaisei Arimura arie0703
0
140
いかにして命令の入れ替わりについて心配するのをやめ、メモリモデルを 愛するようになったか（改）
Avatar for Takaya Saeki nullpo_head
7
2.8k
コミュニティと計画的偶発性理論 - 出会いが人生を変える / Life-Changing Encounters
Avatar for soudai sone soudai
PRO
7
1.2k
いま、あらためて考えてみるアカウント管理 with IaC / Account management with IaC
Avatar for kohbis kohbis
2
560
Engineering Failure-Resilient Systems
Avatar for Mark Irozuru infraplumber0
0
130
第4回 関東Kaggler会 [Training LLMs with Limited VRAM]
Avatar for tascj tascj
5
1k
GCASアップデート（202506-202508）
Avatar for 高橋広和 techniczna
0
230

Featured

See All Featured
Easily Structure & Communicate Ideas using Wireframe
Avatar for Afnizar Nur Ghifari afnizarnur
194
16k
Measuring & Analyzing Core Web Vitals
Avatar for Philip Tellis bluesmoon
9
560
Balancing Empowerment & Direction
Avatar for Lara Hogan lara
2
580
Adopting Sorbet at Scale
Avatar for Ufuk Kayserilioglu ufuk
77
9.5k
Keith and Marios Guide to Fast Websites
Avatar for Keith Pitt keithpitt
411
22k
Done Done
Avatar for chrislema chrislema
185
16k
Evolution of real-time – Irina Nazarova, EuRuKo, 2024
Avatar for Irina Nazarova irinanazarova
8
890
Optimising Largest Contentful Paint
Avatar for Harry Roberts csswizardry
37
3.4k
Understanding Cognitive Biases in Performance Measurement
Avatar for Philip Tellis bluesmoon
29
1.8k
Exploring the Power of Turbo Streams & Action Cable | RailsConf2023
Avatar for Kevin Liebholz kevinliebholz
34
6k
XXLCSS - How to scale CSS and keep your sanity
Avatar for Zaharenia Atzitzikaki sugarenia
248
1.3M
How GitHub (no longer) Works
Avatar for Zach Holman holman
314
140k

Transcript

  1. )PXUPJNQSPWFTFBSDI ! !"%4+ ! $PPLQBETFBSDIHSPVQ (FOUB,BOFZBNB

  2. )PXUPJNQSPWFTFBSDI ! !"%4+ ! $PPLQBETFBSDIHSPVQ (FOUB,BOFZBNB

  3. Cookpad SFDJQFTIBSJOHQMBUGPSN  ɾ+BQBO4QBJO6OJUFETUBUFT*OEPOFTJB

  4. Cookpad SFDJQFTIBSJOHQMBUGPSN  ɾ+BQBO4QBJO6OJUFETUBUFT*OEPOFTJB

  5. None

  6. Monthly Unique Browser 0ສ 1,000ສ 2,000ສ 3,000ສ 4,000ສ 5,000ສ 4݄

    5݄ 6݄ 7݄ 8݄ 9݄ 10݄ 11݄ 12݄ 1݄ 4݄ PC Mobile 44M ʢ2014೥4݄ظ ୈ3࢛൒ظܾࢉิ଍આ໌ࢿྉʣ

  7. Recipes 0ສ 30ສ 60ສ 90ສ 120ສ 150ສ 180ສ 7݄ 10݄

    1݄ 4݄ 7݄ 10݄ 1݄ 4݄ recipe.count 1.71M ʢ2014೥4݄ظ ୈ3࢛൒ظܾࢉิ଍આ໌ࢿྉʣ
  8. None
  9. None

  10. Recipe Search ɾ3FDJQFTUIBUWJFXFEUISPVHITFBSDI  ˠPGBMM .POUIMZ  ɾ6TFSJOUFOUJTWFSZEJWFSTF

  11. Recipe Search ɾ'JOEPVUUIFCFTUSFDJQFGPSFBDIVTFS ɾPSEFSSFDFODZQPQVMBSJUZ ɾGBDFUDBMPSJFDVJTJOFDPPLJOHUJNFFUD

  12. Recipe Search 2VFSZEJWFSTJUZɿ ɾJOHSFEJFOUɿ NFOVɿ ɾTDFOFɿ FUDɿ

  13. Architecture ɾ4PMS NBTUFSTMBWFSFQMJDBUJPO  ɾ3BJMT 4VOTQPU JOIPVTFXSBQQFS ɾNFNDBDIF WBSOJTI ɾ;BCCJY

    /BHJPT

  14. Architecture BQQ DBDIF T SFQFBUFST SFDJQFTMBWF T 7FSOJTIDBDIJOHMPBECBMBODJOH 4PMSNBTUFSTMBWF NBTUFS

    KVTUNBDIJOF TVOTQPUTMBWF T "VUPDPNQMFUFTMBWF T HSPVQCZ$PSF IUUQMPDBMIPTUTPMSTVOTQPUTFMFDU RIFMMPXUKTPO

  15. Architecture BQQ DBDIF T SFQFBUFST SFDJQFTMBWF T 7FSOJTIDBDIJOHMPBECBMBODJOH 4PMSNBTUFSTMBWF NBTUFS

    KVTUNBDIJOF TVOTQPUTMBWF T "VUPDPNQMFUFTMBWF T HSPVQCZ$PSF IUUQMPDBMIPTUTPMSTVOTQPUTFMFDU RIFMMPXUKTPO BWH.CQTNBY.CQT TFBSDIUBSHFUNPEFM SFDJQFTpFMET .EPDT TVOTQPUYpFMET .EPDT

  16. pros/cons 1SPT ɾ&BTZUPTDBMFQSPEVDU FBDICZFBDICBTJT  ɾOP410' ɾTJNQMFBQQDPOpH BQQPOMZLOPXT-#  !

    ! $POT ɾ)BSEUPVOEFSTUBOE ɾpHIUBHBJOTU($JTQBJOGVM

  17. How to improve search

  18. 1. Monitoring

  19. 1. Monitoring *UFOBCMFVTUP ! ɾLOPXUPEBZTVTFSTOFFE ɾLOPX66PGFBDILFZXPSE QSPYZPGJNQPSUBODF  ɾRVJDLMZBDDFTTUPBDUVBMTFBSDISFTVMU ɾpOELFZXPSETXIJDISFUVSOFEUIFCMBOL

  20. 1. Monitoring 8FTIPVMECFBCMFUPBOTXFSʜ ! ɾ)PXNBOZQFPQMFVTFUIJTLFZXPSE zPSlJOXIBUXBZ 

  21. 1. graph of response time 8FDIFDLUIJTHSBQIFWFSZXFFL JGUIFSFTQPOTFUJNFHFUTXPSTF JOWFTUJHBUFDIBOHFMPHT

  22. 2. Graph of response time 8FDIFDLUIJTHSBQIFWFSZXFFL JGUIFSFTQPOTFUJNFHFUTXPSTF JOWFTUJHBUFDIBOHFMPHT

  23. 3. report from users and staff. 8FDIFDLBMMSFQPSUTGSPN VTFSTBOETUB⒎TSFMBUFEUP TFBSDIFWFSZEBZ !

    :PVDBOMFBSOGSPNNPSF UIBOSFQPSUTGSPNTUB⒎

  24. 4. Log analysis ɾ$MJDLMPHTJTWJUBM ɾ—5SFBTVSF%BUB 3FETIJGU

  25. 4. Log analysis

  26. 4. Log analysis ɾ3FTVMUFYBNQMF  ɾTPSULFZXPSECZ)*5!)*5  ɾPS/%$( 85'!FUDʜ !

    *GZPVOPUJDFE  ZPVDBOTUBSUUIJOLJOHMJLFʜ z"SFVTFSXBOUTΧϨʔ͏ͲΜ z

  27. 4. Log analysis -session- ɾ%FpOFTVDDFTTTFTTJPO ɾ:PVXJMMOPUJDFEJ⒎FSFODFCFUXFFOLFZXPSET  ɾBWHUJNF  

    ɾBWHTVDDFTTSBUF   ɾRVFSZQBUUFSOFUDʜ ! #VUʜ/PUJNQMZTPMVUJPO NPTUDBTF

  28. Find out problems  .POJUPSJOH  (SBQIPGSFTQPOTFUJNF  3FQPSUGSPNVTFSTBOETUB⒎ 

    -PHBOBMZTJT ! ˠTVNNBSJ[FˠQSJPSJUJ[FˠUBLFBDUJPO

  29. Dictionary 8FDBOpYXPSEDIVOLJOHXJUIEJDUJPOBSZ 8FpYFEUIPVTBOETPGLFZXPSEJOUIJTZFBS FHlΘΒͼṷzlΘΒͼz "EElΘΒͼṷzJOUPEJDUJPOBSZ"OEDIFDLTFBSDISFTVMUT

  30. Hierarchical Synonym 8FDBOpYTZOPOZNFBTJMZ 8FpYFEUIPVTBOETPGTZOPOZNTJOUIJTZFBS

  31. Speed up indexing 3FJOEFYXIPMFJOEFYFWFSZEBZ 8FDBOBQQMZDIBOHFTJOEBJMZCBTJT

  32. Query modification .BLFBTQBDFGPSRVFSZQSFQSPDFTT 2VFSZDBOCFEJ⒎FSFOUGPSFBDI IUUQXXXTMJEFTIBSFOFUEUVOLFMBOHTFBSDIRVBMJUZBUMJOLFEJO

  33. (cloudsearch)

  34. Exploit user’s log &YQMPJUVTFS`TTVDDFTTGVMRVFSZDIBJOBTSFMBUFETFBSDIFST

  35. Summary 'JOEPVUQSPCMFNT TVNNBSJ[FQSJPSJUJ[F UBLFBDUJPO ! 2VFTUJPOT