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
Fast Succinct Trie
Search
Shunsuke Kanda
August 06, 2019
Research
1
660
Fast Succinct Trie
第七回StringBeginnersでの発表資料です。
Shunsuke Kanda
August 06, 2019
Tweet
Share
More Decks by Shunsuke Kanda
See All by Shunsuke Kanda
Leveraging LLMs for Unsupervised Dense Retriever Ranking (SIGIR 2024)
kampersanda
2
300
Lucene/Elasticsearch の Character Filter でユニコード正規化するとトークンのオフセットがズレるバグへの Workaround - Search Engineering Tech Talk 2024 Spring
kampersanda
0
1.2k
Binary and Scalar Embedding Quantization for Significantly Faster & Cheaper Retrieval
kampersanda
2
350
トライとダブル配列の基礎
kampersanda
0
1k
Binary search with modern processors
kampersanda
30
13k
AIP Open Seminar #6
kampersanda
0
200
ICDM2020
kampersanda
0
180
SIGSPATIAL20
kampersanda
0
150
EliasFano
kampersanda
1
200
Other Decks in Research
See All in Research
書き手はどこを訪れたか? - 言語モデルで訪問行動を読み取る -
hiroki13
0
140
Elix, CBI2024, スポンサードセッション, Molecular Glue研究の展望:近年の進展とAI活用の可能性
elix
0
130
「熊本県内バス・電車無料デー」の振り返りとその後の展開@土木計画学SS:成功失敗事例に学ぶ公共交通運賃設定
trafficbrain
0
210
Geospecific View Generation - Geometry-Context Aware High-resolution Ground View Inference from Satellite Views
satai
2
240
ドローンやICTを活用した持続可能なまちづくりに関する研究
nro2daisuke
0
140
新規のC言語処理系を実装することによる 組込みシステム研究にもたらす価値 についての考察
zacky1972
1
320
20241115都市交通決起集会 趣旨説明・熊本事例紹介
trafficbrain
0
990
ダイナミックプライシング とその実例
skmr2348
3
590
AIトップカンファレンスからみるData-Centric AIの研究動向 / Research Trends in Data-Centric AI: Insights from Top AI Conferences
tsurubee
3
1.5k
ソフトウェア研究における脅威モデリング
laysakura
0
1.6k
EBPMにおける生成AI活用について
daimoriwaki
0
280
[ECCV2024読み会] 衛星画像からの地上画像生成
elith
1
1.1k
Featured
See All Featured
Git: the NoSQL Database
bkeepers
PRO
427
64k
Put a Button on it: Removing Barriers to Going Fast.
kastner
60
3.7k
Documentation Writing (for coders)
carmenintech
67
4.6k
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
9
440
Mobile First: as difficult as doing things right
swwweet
223
9.3k
I Don’t Have Time: Getting Over the Fear to Launch Your Podcast
jcasabona
32
2.1k
Unsuck your backbone
ammeep
669
57k
How to Create Impact in a Changing Tech Landscape [PerfNow 2023]
tammyeverts
49
2.3k
The Art of Programming - Codeland 2020
erikaheidi
53
13k
Exploring the Power of Turbo Streams & Action Cable | RailsConf2023
kevinliebholz
30
4.6k
Why You Should Never Use an ORM
jnunemaker
PRO
55
9.2k
Speed Design
sergeychernyshev
27
790
Transcript
'BTU4VDDJODU5SJF @kampersanda 7th StringBeginners հจɿ ;IBOH -JN -FJT "OEFSTFO ,BNJOTLZ
,FFUPOBOE1BWMP 4V3'1SBDUJDBM3BOHF2VFSZ'JMUFSJOHXJUI'BTU4VDDJODU5SJF *O4*(.0% QQ
'BTU4VDDJODU5SJF '45 w ͷ4*(.0%ͰఏҊ͞Εͨ؆ܿ5SJFදݱ ;IBOHFUBM4V3'1SBDUJDBMSBOHFRVFSZpMUFSJOHXJUI GBTUTVDDJODUUSJFT4*(.0% 4VDDJODU3BOHF'JMUFS
4V3' ͷͨΊʹఏҊ͞Εͨ Ұൠతͳ༻్ʹ͑Δ w ࠓճͷൃද4V3'Ͱͳ͘'45ʹযΛͯͨͷͰ͢ w ͪͳΈʹ ච಄ஶऀ͞ΜʹΑΔΘ͔Γ͍͢εϥΠυ͕͏͢Ͱʹ͋Γ·͢ ‣ IUUQXXXDTDNVFEVdIVBODIFTMJEFT'45QEG ࠓճͷ୯७ʹͦΕΛͳͧͬͨͷͰͳ͍Ͱ͢ 2
5SJFࣙॻ w 5SJFͱҰݴͰݴͬͯɺٻΊΒΕΔૢ࡞͍Ζ͍Ζ w ࠓճ؆୯ʹҎԼͷΑ͏ͳૢ࡞͕Ͱ͖ΕΑ͠ͱ͠·͢ .FNCFS 4 ɿจࣈྻ4͕Ωʔͱؚͯ͠·Ε͍ͯΔ͔ʁ
1SFpY 4 ɿจࣈྻ4ͷ಄ࣙͱ࠷Ұக͢ΔΩʔʁ 3 .FNCFS Θͨ͠ :FT .FNCFS Θͨ͘͠ /P 1SFpY Θͨ͘͠ Θͨ ͨ Θ ʹ ͠ Έ ͨ Θ ͠
ͦͦ؆ܿ5SJFͬͯԿʁ 'BTU4VDDJODU5SJF '45 ͱʁ 5SJFࣙॻͱͯ͠ͷ'45ͷੑೳʁ
ͦͦ؆ܿ5SJFͬͯԿʁ 'BTU4VDDJODU5SJF '45 ͱʁ 5SJFࣙॻͱͯ͠ͷ'45ͷੑೳʁ
؆ܿ5SJFͱʁ w ใཧతԼݶʹ͍ۙϝϞϦྔͰ5SJFΛදݱ͢Δσʔλߏ OMHМ 0 O Ϗοτ ‣ OઅɺМΞϧϑΝϕοταΠζ
w ʮॱংͷ؆ܿදݱʯ ʮϥϕϧͷྻʯͰΑ͘දݱ͞ΕΔ w ̏ͭͷදతͳॱংͷ؆ܿσʔλߏ #1 #BMBODFE1BSFOUIFTFT %'6%4 %FQUI'JSTU6OBSZ%FHSFF4FRVFODF -06%4 -FWFM0SEFSFE6OBSZ%FHSFF4FRVFODF w ͪͳΈʹɺ 9#8N#POTBJͳͲ؆ܿ5SJFͰ͕͢ࠓճѻΘͳ͍Ͱ͢ 6 O P O CJUT OMPHМCJUT
#1 #BMBODFE1BSFOUIFTFT w ֤અΛ։ׅހ(ͱดׅހ)ͷϖΞͰදݱ ਂ͞༏ઌॱͰΛࠪ ߦ͖ͷ๚Ͱ(Λஔ͖ɺؼΓͷ๚Ͱ)Λஔ͘ 7
'JSTU$IJME QPT QPT /FYU4JCMJOH QPT 'JOE$MPTF QPT ( ( ( ) ( ( ) ( ) ) ) ( ( ( ) ) ) ) 'JOE$MPTFɿରԠ͢ΔดׅހͷҐஔ
%'6%4 %FQUI'JSTU6OBSZ%FHSFF4FRVFODF w #1ΑΓଟػೳͳׅހྻදݱ ਂ͞༏ઌॱͰΛࠪ ֤અʹ͍ͭͯɺͦͷࢠͱಉ͡ͷ(ͱ̍ݸͷ)Λஔ͘ ࠷ޙʹઌ಄ʹ(Λஔ͘
8 ( ( ( ) ( ( ) ) ( ( ) ) ) ( ) ( ) ) $IJME QPT J 'JOE$MPTF 4FMFDU) 3BOL) QPT J 3BOLb QPT ɿQPT·Ͱͷbͷ 4FMFDUb L ɿL൪ͷb͕ݱΕΔҐஔ 'JOE$MPTF
-06%4 -FWFM0SEFSFE6OBSZ%FHSFF4FRVFODF w ͜ͷੈͰͬͱγϯϓϧͳදݱʢྑ͍ҙຯͰʣ ෯༏ઌॱʹΛࠪ ֤અʹ͍ͭͯɺͦͷࢠͱಉ͡ͷ1ͱ̍ݸͷ0Λஔ͘ ࠷ޙʹઌ಄ʹ10Λஔ͘
9 1 0 1 1 0 1 1 0 1 0 0 1 1 0 1 0 0 0 0 'JSTU$IJME QPT 4FMFDU0 3BOL1 1PT /FYU4JCMJOH QPT QPT 3BOLb QPT ɿQPT·Ͱͷbͷ 4FMFDUb L ɿL൪ͷb͕ݱΕΔҐஔ 'JSTU$IJME
؆ܿ5SJFͷϨϏϡʔ 10 ػೳੑ ݕࡧ ࣮ #1 ̋ ˚ %'6%4
˕ ̋ -06%4 ˚ ˕ қ w Ұൠతʹɺࣙॻͱͯ͠ͷ5SJF಄ࣙݕࡧ͕Ͱ͖Εे w #1ͱ%'6%4Ϧον͗͢ΔͷͰ-06%4͕࠾༻͞ΕΔέʔε͕ଟ͍ 59ɺ69ɺ."3*4"ɺ'45ɺͳͲ w ͦͷลΓͷൺֱ࣮ݧ "SSPZVFMPFUBM4VDDJODUUSFFTJOQSBDUJDF"-&/&9 ాΒॱংͷ؆ܿදݱΛ༻͍ͨτϥΠࣙॻͷධՁॲશࠃ ࠓͱͳͬͯ ͦ͜·Ͱ͡Όͳ͍
ͦͦ؆ܿ5SJFͬͯԿʁ 'BTU4VDDJODU5SJF '45 ͱʁ 5SJFࣙॻͱͯ͠ͷ'45ͷੑೳʁ
ઃܭͷϞνϕʔγϣϯ w ࠜͷۙͷઅͱ༿ͷۙͷઅͰੑׂ࣭͕ҧ͏ 12 w ͪͳΈʹɺͦͷΑ͏ͳϞνϕʔγϣϯ౷తʹ͋Γ·͢ "35ɿઅͷ࣍ʹΑΓదͳσʔλߏΛબ #VSTU5SJF)"5ɿࠜۙͷઅΛ୯७ͳྻͰදݱ
."3*4"ɿࠜͷۙͷ3BOL4FMFDUͷԋࢉ݁ՌΛΩϟογϡ ૄ සൟʹΞΫηε͞ΕΔ େଟͷઅ͕ଐ͢Δ ͕େࣄʂ ϝϞϦޮ͕େࣄʂ ͨ Θ ʹ ͠ Έ ͨ Θ ͠ ີ
-06%4%4ɿೋछྨͷ-06%4Ͱදݱ 13 ਤจΑΓҾ༻ w ࠜۙߴͳ-06%4%FOTF w ༿ۙϝϞϦޮͷྑ͍-06%44QBSTF
-06%4%FOTF 14 - )$ ͨ Θ ʹ ͠ Έ ͨ
Θ ͠ - )$ ͨ Θ Θ ͨ ʹ - )$ ͠ ͠ Έ ˞ଟগɺ؆ུԽͯ͠·͢ w -ɿͦͷࢬϥϕϧΛ࣋ͭࢠ͕ଘࡏ͢Δ͔ʁ w )$ɿͦͷࢠ෦અ͔ʁ МޒेԻ w ֤෦અΛ͞Мͷ ϏοτϚοϓͰදݱ
-06%4%FOTF 15 - )$ ͨ Θ ʹ ͠ Έ ͨ
Θ ͠ - )$ ͨ Θ Θ ͨ ʹ - )$ ͠ ͠ Έ ॳظঢ়ଶɿQPT ʮΘͨ͠ʯͰݕࡧ ߋ৽ɿQPTQPT จࣈ ֬ೝɿ-<QPT>ͳΒࢠ͕ଘࡏ͠ɺ)$<QPT>ͳΒͦͷࢠ෦અ ભҠɿ$IJME1PT QPT Мº3BOL )$ QPT QPT М ˞ଟগɺ؆ུԽͯ͠·͢
-06%4%FOTF 16 ͨ Θ ʹ ͠ Έ ͨ Θ ͠
ͨ Θ Θ ͨ ʹ ͠ ͠ Έ QPT $IJME1PT ʮΘͨ͠ʯͰݕࡧ М ˞ଟগɺ؆ུԽͯ͠·͢ - )$ - )$ - )$ QPT ߋ৽ɿQPTQPT จࣈ ֬ೝɿ-<QPT>ͳΒࢠ͕ଘࡏ͠ɺ)$<QPT>ͳΒͦͷࢠ෦અ ભҠɿ$IJME1PT QPT Мº3BOL )$ QPT 3BOL )$ QPT
-06%4%FOTF 17 ͨ Θ ʹ ͠ Έ ͨ Θ ͠
ͨ Θ Θ ͨ ʹ ͠ ͠ Έ QPT $IJME1PT ʮΘͨ͠ʯͰݕࡧ М ˞ଟগɺ؆ུԽͯ͠·͢ - )$ - )$ - )$ QPT ߋ৽ɿQPTQPT จࣈ ֬ೝɿ-<QPT>ͳΒࢠ͕ଘࡏ͠ɺ)$<QPT>ͳΒͦͷࢠ෦અ ભҠɿ$IJME1PT QPT Мº3BOL )$ QPT 3BOL )$ QPT
-06%4%FOTF 18 ͨ Θ ʹ ͠ Έ ͨ Θ ͠
ͨ Θ Θ ͨ ʹ ͠ ͠ Έ QPT )$<QPT>ͳͷͰ༿ ʮΘͨ͠ʯͰݕࡧ М ˞ଟগɺ؆ུԽͯ͠·͢ - )$ - )$ - )$ QPT ߋ৽ɿQPTQPT จࣈ ֬ೝɿ-<QPT>ͳΒࢠ͕ଘࡏ͠ɺ)$<QPT>ͳΒͦͷࢠ෦અ ભҠɿ$IJME1PT QPT Мº3BOL )$ QPT
-06%44QBSTF 19 ͨ Θ
ʹ ͠ Έ ͨ Θ ͠ - ͨ Θ Θ ͨ ʹ ͠ ͠ Έ )$ 4 ˞ଟগɺ؆ུԽͯ͠·͢ w ݪཧతʹී௨ͷ-06%4ͱҰॹ w-ɿϥϕϧͷྻ w)$ɿͦͷઅ෦અ͔ʁ w4ɿͦͷઅஉ͔ʁʢݪཧతʹී௨ͷ-06%4ʣ
-06%44QBSTF 20 ʮΘͨ͠ʯͰݕࡧ
- ͨ Θ Θ ͨ ʹ ͠ ͠ Έ )$ 4 ୳ࡧɿQPT -<QPT>จࣈ ͳQPT ֬ೝɿ)$<QPT>ͳΒͦͷࢠ෦અ ભҠɿ$IJME1PT QPT 4FMFDU 4 3BOL )$ QPT ˞ଟগɺ؆ུԽͯ͠·͢ ॳظঢ়ଶɿQPT QPT ͨ Θ ʹ ͠ Έ ͨ Θ ͠
-06%44QBSTF 21 ʮΘͨ͠ʯͰݕࡧ
- ͨ Θ Θ ͨ ʹ ͠ ͠ Έ )$ 4 ˞ଟগɺ؆ུԽͯ͠·͢ QPT $IJME1PT QPT ୳ࡧɿQPT -<QPT>จࣈ ͳQPT ֬ೝɿ)$<QPT>ͳΒͦͷࢠ෦અ ભҠɿ$IJME1PT QPT 4FMFDU 4 3BOL )$ QPT ͨ Θ ʹ ͠ Έ ͨ Θ ͠ 3BOL )$ QPT 4FMFDU 4
ͨ Θ ʹ ͠
Έ ͨ Θ ͠ -06%44QBSTF 22 ʮΘͨ͠ʯͰݕࡧ - ͨ Θ Θ ͨ ʹ ͠ ͠ Έ )$ 4 ˞ଟগɺ؆ུԽͯ͠·͢ QPT $IJME1PT ୳ࡧɿQPT -<QPT>จࣈ ͳQPT ֬ೝɿ)$<QPT>ͳΒͦͷࢠ෦અ ભҠɿ$IJME1PT QPT 4FMFDU 4 3BOL )$ QPT 3BOL )$ QPT 4FMFDU 4
-06%44QBSTF 23 ʮΘͨ͠ʯͰݕࡧ
- ͨ Θ Θ ͨ ʹ ͠ ͠ Έ )$ 4 ˞ଟগɺ؆ུԽͯ͠·͢ QPT )$<QPT>ͳͷͰ༿ ୳ࡧɿQPT -<QPT>จࣈ ͳQPT ֬ೝɿ)$<QPT>ͳΒͦͷࢠ෦અ ભҠɿ$IJME1PT QPT 4FMFDU 4 3BOL )$ QPT ͨ Θ ʹ ͠ Έ ͨ Θ ͠
'45ͷͦͷଞͷ w -06%4%FOTF4QBSTFͦΕͧΕʹదͳ3BOLࣙॻͷઃܭ w 4*.%ʹΑΔϥϕϧ୳ࡧͷߴԽ w ϓϦϑΣον໋ྩͷ׆༻ 24 ਤจΑΓҾ༻
ͦͦ؆ܿ5SJFͬͯԿʁ 'BTU4VDDJODU5SJF '45 ͱʁ 5SJFࣙॻͱͯ͠ͷ'45ͷੑೳʁ
'45ͷԠ༻ɿ3BOHF2VFSZ'JMUFSJOH w '453BOHF2VFSZ'JMUFSJOHͷҝͷσʔλߏͱͯ͠ఏҊ͞Εͨ 26 * $ % . & .
- ɿ*$"-1͔Β*$%.ͷؒʹؚ·ΕΔσʔλ͋Δʁ ղɿ:&4ʢ*$%&ͱ*$%.ʣ ɿ*$"-1͔Β*$%.ͷؒʹؚ·ΕΔσʔλʁ ղɿͭʢ*$%&ͱ*$%.ʣ w 4V3' 4VDDJODU3BOHF'JMUFS Ͱ'45ͷར༻ʹՃ͑ɺϢχʔΫͳ ඌࣙΛΓޡݕग़Λڐ͢͜ͱͰɺ#MPPN'JMUFSʹඖఢ͢ΔϝϞϦ༻ྔ Ͱ3BOHF2VFSZ'JMUFSJOHΛ࣮ݱ͢Δ
'45ͷੑೳʢจΑΓҾ༻ʣ w طଘͷ؆ܿ5SJFࣙॻͱൺͯ 27 ϏοτΛόΠτจࣈྻͱͯ͠ ϗετ໊Λͻͬ͘Γฦͯ͠ FH DPNHPPMHF!LBOEB UYUSJFγϯϓϧͳ-06%4 1%5ܦ࿏ղ
%'6%4
'45ͷੑೳʢจΑΓҾ༻ʣ w CJUJOUͰ-06%4%FOTFͷߩݙ͕େ͖͍ Ұ༷Ͱੜ͞Εͨσʔλ ͳͷͰ֤અͷࢠͷ͕ͱͯେ͖͍ 28 CBTFMJOF-06%44QBSTFͷΈ w
5SJFࣙॻͱͯͪ͠ΐͬͱಛघͳσʔληοτʁ w ࣗવݴޠͳͲσʔληοτͰͷੑೳͲ͏ͳͷʁ
5SJFࣙॻɺ࣮͠·ͨ͠ 29 w IUUQTHJUIVCDPNLBNQFSTBOEBGBTU@TVDDJODU@USJF
.FNPSZ6TBHF .J# '45 %"354$ 9$%"5
59 ."3*4" 1%5 4FBSDI5JNF NJDSPTFDRVFSZ '45 %"354$ 9$%"5 59 ."3*4" 1%5 .FNPSZ6TBHF .J# '45 %"354$ 9$%"5 59 ."3*4" 1%5 4FBSDI5JNF NJDSPTFDRVFSZ '45 %"354$ 9$%"5 59 ."3*4" 1%5 30 ࣮ݧʢຊޠʣ ϝϞϦ ݕࡧ *1"ࣙॻ .TUSJOHT BWFMFOHUI 8JLJλΠτϧ .TUSJOHT BWFMFOHUI
31 ࣮ݧʢ"TLJUJT`TEBUBTFUʣ .FNPSZ6TBHF .J# '45
%"354$ 9$%"5 59 ."3*4" 1%5 4FBSDI5JNF NJDSPTFDRVFSZ '45 %"354$ 9$%"5 59 ."3*4" 1%5 ϝϞϦ ݕࡧ %JTUJODU .TUSJOHT BWFMFOHUI 6SM .TUSJOHT BWFMFOHUI .FNPSZ6TBHF .J# '45 %"354$ 9$%"5 59 ."3*4" 1%5 4FBSDI5JNF NJDSPTFDRVFSZ '45 %"354$ 9$%"5 59 ."3*4" 1%5
·ͱΊ w '45γϯϓϧͳ-06%4ͳվྑ w σʔλ͔ΒΔΑ͏ͳઅͷࢠͷ͕ͱͯଟ͍5SJFʹ ରͯ͠ɺ-06%4%FOTFͷߩݙ͕ͱͯେ͖͍ 3BOHFRVFSZpMUFSJOHͷͨΊͷσʔλߏͱͯ͠Α͍ w ҰํͰɺࣗવݴޠσʔλͳͲͰطଘͷ5SJFࣙॻͷํ͕ޮ͕
ྑͦ͞͏ ͔͠͠ͳ͕Βɺ-06%4%FOTFͱଞͷ5SJFࣙॻʢྫ͑ 1%5ͱ͔ʣΛΈ߹ΘͤΔͳͲͷํࡦߟ͑ΒΕͦ͏ 32