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
Online Learning to Rank for Sequential Music Re...
Search
zr_4
October 05, 2019
Research
0
830
Online Learning to Rank for Sequential Music Recommendation
zr_4
October 05, 2019
Tweet
Share
More Decks by zr_4
See All by zr_4
ニュース記事の品質が広告消費行動に与える影響の調査
zr_4
0
910
パーソナライゼーションのためのマルチリービング
zr_4
3
1k
consumption.pdf
zr_4
0
310
Other Decks in Research
See All in Research
Gemini と Looker で営業DX をドライブする / Driving Sales DX with Gemini and Looker
sansan_randd
0
120
Retrieval of Hurricane Rain Rate From SAR Images Based on Artificial Neural Network
satai
2
140
PhD Defence: Considering Temporal and Contextual Information for Lexical Semantic Change Detection
a1da4
0
120
第79回 産総研人工知能セミナー 発表資料
agiats
3
200
20241115都市交通決起集会 趣旨説明・熊本事例紹介
trafficbrain
0
990
Weekly AI Agents News! 10月号 論文のアーカイブ
masatoto
1
500
ベイズ的方法に基づく統計的因果推論の基礎
holyshun
0
810
大規模言語モデルを用いたニュースデータのセンチメント判定モデルの開発および実体経済センチメントインデックスの構成
nomamist
0
110
VisFocus: Prompt-Guided Vision Encoders for OCR-Free Dense Document Understanding
sansan_randd
1
460
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
ECCV2024読み会: Minimalist Vision with Freeform Pixels
hsmtta
1
410
ラムダ計算の拡張に基づく 音楽プログラミング言語mimium とそのVMの実装
tomoyanonymous
0
400
Featured
See All Featured
Helping Users Find Their Own Way: Creating Modern Search Experiences
danielanewman
29
2.4k
What’s in a name? Adding method to the madness
productmarketing
PRO
22
3.3k
Save Time (by Creating Custom Rails Generators)
garrettdimon
PRO
29
1k
Performance Is Good for Brains [We Love Speed 2024]
tammyeverts
7
630
A better future with KSS
kneath
238
17k
Keith and Marios Guide to Fast Websites
keithpitt
411
22k
Unsuck your backbone
ammeep
669
57k
XXLCSS - How to scale CSS and keep your sanity
sugarenia
248
1.3M
Git: the NoSQL Database
bkeepers
PRO
427
64k
Thoughts on Productivity
jonyablonski
69
4.5k
Making the Leap to Tech Lead
cromwellryan
133
9.1k
Speed Design
sergeychernyshev
27
790
Transcript
0OMJOF-FBSOJOHUP3BOLGPS 4FRVFOUJBM.VTJD3FDPNNFOEBUJPO #-1FSFJSB "6FEB (1FOIB 3-54BOUPT /;JWJBOJ 3FD4ZTจಡΈձࢿྉ ൧௩ᔨೋ![S@
ஶऀհ w ॴଐ w 'FEFSBM6OJWFSTJUZPG.JOBT(FSBJT w ஶऀ w #SVOP-1FSFJSB w
"MCFSUP6FEB w (VTUBWP1FOIB w 3PESZHP-54BOUPT w /JWJP;JWJBOJ
എܠ w ԻָετϦʔϛϯάαʔϏεͷོ w ਓྗϓϨΠϦετͷݶք w Ϣʔβʔͷझଊ͍͑ͯͳ͍ w ͯ͢ͷۂΛΧόʔ͢Δͷແཧ w
աڈͷϩά zݱࡏͷηογϣϯz͔Βֶश͍ͨ͠ w ؾɺΞΫςΟϏςΟʹΑͬͯฉ͖͍ͨۂมΘΔ
ߩݙ w ϢʔβʔϑΟʔυόοΫΛ࿈ଓతʹֶश͢ΔΦϯϥΠϯϥϯ Ϋֶशख๏$PVOUFSGBDUVBM%VFMJOH#BOEJUT $%# ΛఏҊ w *NQMJDJUGFFECBDL QMBZPSBDUJPO ͷΈΛ͏
w ࣍ݩಛϕΫτϧΛείΞϦϯάʹ͏ w Ϟσϧ୳ࡧ࣌ʹҼՌਪ͢Δ w ࠷৽ͷΦϯϥΠϯֶशख๏ΑΓֶश͕ૣ͘ɺߴਫ਼Λୡ
ؔ࿈ݚڀ w "VUPNBUJD1MBZMJTU(FOFSBUJPO w 4UBUJD w .BSLPWSBOEPNpFMEBQQSPBDI 4*(.. 3BHOPFUBM
w %ZOBNJD w JNQMJDJUGFFECBDLΛͬͨώϡʔϦεςΟΫε *4.*3 1BNQBMLFUBM w BVEJPCBTFESFQSFTFOUBUJPOʹجͮ͘ۂΫϥελۭؒͷڧԽ ֶश 3FD4ZT ,JOHBOE*NCSBTBJUF
ؔ࿈ݚڀ w $POUFYUVBMCBOEJUT w /FXTDPOUFYUVBMCBOEJU 84%. -JFUBM w ۂΛBSNʹ͢ΔͱϢʔβʔମݧతʹΑ͘ͳ͍͔
w 0OMJOFMFBSOJOHUPSBOL w ΞΠςϜۭؒͷ࣍ݩಛྔΛBSNʹ͢Δ w ۂҰͭΛධՁ͢ΔͷʹϥϯΩϯάΛධՁ͢ΔJOUFSMFBWJOH ෆద
ઃఆ શۂσʔλ ਪનީิۂ
$%#"MHPSJUIN
$%#"MHPSJUIN VରϢʔβ TϢʔβ͕બΜͩॳظۂ NΞʔϜͷ Tͷϙδγϣϯ ॳظԽ
$%#"MHPSJUIN VରϢʔβ TϢʔβ͕બΜͩॳظۂ NΞʔϜͷ Tͷϙδγϣϯ ॳظԽ ϕΫτϧ୳ࡧ
$%#"MHPSJUIN
$%#"MHPSJUIN VରϢʔβ TϢʔβ͕બΜͩॳظۂ NΞʔϜͷ Tͷϙδγϣϯ ॳظԽ ϕΫτϧ୳ࡧ ධՁ
࣮ݧɿௐ߲ࠪ $%#ͲΕ΄Ͳֶ͘श͢Δ͔ $%#ऩଋ࣌ʹͲΕ΄ͲͷޮՌ͕͋Δ͔ EVFMͲͷΑ͏ʹӨڹ͢Δ͔
࣮ݧɿσʔληοτ w -BTUGN,EBUBTFU w ظؒɿ w ΧϥϜɿVTFS*% BSUJTU*% TPOH*% UJUMF
w 4QPUJGZ .VTJD#SBJO[ͷσʔλͱ݁߹ w VTFST TPOHT FWFOUT
࣮ݧɿධՁ
࣮ݧ݁Ռֶश ˠ-JO6$#ʹൺɺֶ͘शͰ͖͍ͯΔ
࣮ݧ݁ՌֶशޮՌ ˠ-JO6$#ʹൺɺޮՌతʹֶशͰ͖͍ͯΔ
࣮ݧ݁ՌEVFMͷӨڹ ˠNҎ߱Ͱ-JO6$#ʹൺɺใु͕ߴ͔ͬͨ
·ͱΊͱࠓޙͷ՝ w Իָͷਪનʹର͢ΔΦϯϥΠϯֶशख๏$%#ΛఏҊ w ύʔιφϥΠζ͔ͭগͳ͍GFFECBDLͷঢ়گطଘݚڀʹͳ͔ͬͨ w $POUFYUVBMCBOEJUͱͷൺֱ࣮ݧΛߦͬͨ w গͳ͍ϢʔβʔϑΟʔυόοΫͰޮՌతͳֶश w
ࠓޙͷ՝ w χϡʔεਪનͷద༻ w ࣮ੈքͷద༻
ॴײ w 4FRVFOUJBM3FDPNNFOEBUJPOͷΦϑϥΠϯධՁͷΓ ͔͕ͨΓ͔ͨͬͨͷͰࢀߟʹͳͬͨ w Իָਪનઃఆ͕໘ന͍ w ઃఆ͔Β͢Δͱ࣮ݧͷϕʔεϥΠϯଥ͔͠Εͳ ͍͕ɺ$'ͳͲ౷తͳख๏ͱͷਫ਼ͷҧ͍͕ؾʹͳΔ