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
170
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
Automating Web Accessibility Testing with AI Agents
Avatar for South maminami373
0
1.2k
生成AIでセキュリティ運用を効率化する話
Avatar for Tkay sakaitakeshi
0
630
【初心者向け】ローカルLLMの色々な動かし方まとめ
Avatar for Aratako aratako
7
3.4k
Platform開発が先行する Platform Engineeringの違和感
Avatar for KintoTech_Dev kintotechdev
4
550
dbt開発 with Claude Codeのためのガードレール設計
Avatar for 10xinc 10xinc
2
1.2k
開発者を支える Internal Developer Portal のイマとコレカラ / To-day and To-morrow of Internal Developer Portals: Supporting Developers
Avatar for Kento Kimura aoto
PRO
1
450
20250903_1つのAWSアカウントに複数システムがある環境におけるアクセス制御をABACで実現.pdf
Avatar for yhana yhana
3
550
COVESA VSSによる車両データモデルの標準化とAWS IoT FleetWiseの活用
Avatar for Yuto Osawa osawa
1
270
なぜスクラムはこうなったのか？歴史が教えてくれたこと/Shall we explore the roots of Scrum
Avatar for Genki Sano sanogemaru
5
1.6k
Android Audio: Beyond Winning On It
Avatar for Atsushi Eno atsushieno
0
100
複数サービスを支える マルチテナント型 Batch MLプラットフォーム
Avatar for LINEヤフーTech (LY Corporation Tech) lycorptech_jp
PRO
0
320
ブロックテーマ時代における、テーマの CSS について考える Toro_Unit / 2025.09.13 @ Shinshu WordPress Meetup
Avatar for Toro_Unit (Hiroshi Urabe) torounit
0
120

Featured

See All Featured
The Art of Programming - Codeland 2020
Avatar for Erika Heidi erikaheidi
56
13k
The Illustrated Children's Guide to Kubernetes
Avatar for Chris Short chrisshort
48
50k
ピンチをチャンスに：未来をつくるプロダクトロードマップ #pmconf2020
Avatar for Aki / @LoveIdahoBurger aki_iinuma
126
53k
Sharpening the Axe: The Primacy of Toolmaking
Avatar for Bryan Cantrill bcantrill
44
2.5k
Practical Orchestrator
Avatar for Shlomi Noach shlominoach
190
11k
XXLCSS - How to scale CSS and keep your sanity
Avatar for Zaharenia Atzitzikaki sugarenia
248
1.3M
Product Roadmaps are Hard
Avatar for C. Todd Lombardo iamctodd
PRO
54
11k
Exploring the Power of Turbo Streams & Action Cable | RailsConf2023
Avatar for Kevin Liebholz kevinliebholz
34
6k
Making the Leap to Tech Lead
Avatar for Ryan Cromwell cromwellryan
135
9.5k
The Pragmatic Product Professional
Avatar for Laura Van Doore lauravandoore
36
6.9k
Code Reviewing Like a Champion
Avatar for maltzj maltzj
525
40k
Facilitating Awesome Meetings
Avatar for Lara Hogan lara
55
6.5k

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