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

how to improve search

genta kaneyama
October 17, 2014
Technology
8
2k

how to improve search

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

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
penguinco
0
140
search and community in cookpad 2019
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
penguinco
4
9.1k
Solr @ CROSS2015 C4
penguinco
1
1.4k
solrとelasticsearchの比較
penguinco
15
5.5k

Other Decks in Technology

See All in Technology
DevOps文化を育むQA 〜カルチャーバブルを生み出す戦略〜 / 20250317 Atsushi Funahashi
shift_evolve
1
110
どっちの API SHOW？SharePoint 開発における SharePoint REST API Microsoft Graph API の違い / Which API show? Differences between Microsoft Graph API and SharePoint REST API
karamem0
0
110
Amazon EKS Auto ModeでKubernetesの運用をシンプルにする
sshota0809
0
120
PostgreSQL Unconference #52 pg_tde
nori_shinoda
1
230
チームビルディング「脅威モデリング」ワークショップ
koheiyoshikawa
0
150
年末調整プロダクトの内部品質改善活動について
kaomi_wombat
0
210
頻繁リリース × 高品質 = 無理ゲー？ いや、できます！/20250306 Shoki Hyo
shift_evolve
0
160
ウェブアクセシビリティとは
lycorptech_jp
PRO
0
320
Amazon Q Developer 他⽣成AIと⽐較してみた
takano0131
1
120
【５分でわかる】セーフィー エンジニア向け会社紹介
safie_recruit
0
20k
17年のQA経験が導いたスクラムマスターへの道 / 17 Years in QA to Scrum Master
toma_sm
0
420
AIエージェントキャッチアップと論文リサーチ
os1ma
6
1.2k

Featured

See All Featured
Embracing the Ebb and Flow
colly
85
4.6k
Designing for Performance
lara
606
69k
RailsConf 2023
tenderlove
29
1k
Statistics for Hackers
jakevdp
798
220k
How STYLIGHT went responsive
nonsquared
99
5.4k
[RailsConf 2023 Opening Keynote] The Magic of Rails
eileencodes
28
9.4k
A Tale of Four Properties
chriscoyier
158
23k
Building a Scalable Design System with Sketch
lauravandoore
462
33k
Exploring the Power of Turbo Streams & Action Cable | RailsConf2023
kevinliebholz
31
4.8k
Building Your Own Lightsaber
phodgson
104
6.3k
Easily Structure & Communicate Ideas using Wireframe
afnizarnur
194
16k
Unsuck your backbone
ammeep
670
57k

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