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
論文紹介 Balancing Relevance and Discovery to Inspi...
Search
Takashi Nishibayashi
October 17, 2020
Research
0
760
論文紹介 Balancing Relevance and Discovery to Inspire Customers in the IKEA App
RecSys2020論文読み会の発表資料です
https://connpass.com/event/189192/
Takashi Nishibayashi
October 17, 2020
Tweet
Share
More Decks by Takashi Nishibayashi
See All by Takashi Nishibayashi
病院向け生成AIプロダクト開発の実践と課題
hagino3000
0
590
入院医療費算定業務をAIで支援する:包括医療費支払い制度とDPCコーディング (公開版)
hagino3000
0
190
診断前の病歴テキストを対象としたLLMによるエンティティリンキング精度検証
hagino3000
1
190
論文紹介 Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models
hagino3000
0
940
論文紹介 Audience Size Forecasting Fast and Smart Budget Planning for Media Buyers
hagino3000
0
260
論文紹介 Towards a Fair Marketplace: Counterfactual Evaluation of the trade-off between Relevance, Fairness & Satisfaction in Recommendation Systems
hagino3000
1
670
論文紹介 Budget Management Strategies in Repeated Auctions (公開版)
hagino3000
2
330
論文紹介 A Request-level Guaranteed Delivery Advertising Planning: Forecasting and Allocation
hagino3000
1
160
論文紹介 Online Experimentation with Surrogate Metrics Guidelines and a Case Study
hagino3000
1
420
Other Decks in Research
See All in Research
世界モデルにおける分布外データ対応の方法論
koukyo1994
7
2k
台湾モデルに学ぶ詐欺広告対策:市民参加の必要性
dd2030
0
280
業界横断 副業コンプライアンス調査 三者(副業者・本業先・発注者)におけるトラブル認知ギャップの構造分析
fkske
0
1.2k
IEEE AIxVR 2026 Keynote Talk: "Beyond Visibility: Understanding Scenes and Humans under Challenging Conditions with Diverse Sensing"
miso2024
0
130
【SIGGRAPH Asia 2025】Lo-Fi Photograph with Lo-Fi Communication
toremolo72
0
140
Φ-Sat-2のAutoEncoderによる情報圧縮系論文
satai
3
170
"主観で終わらせない"定性データ活用 ― プロダクトディスカバリーを加速させるインサイトマネジメント / Utilizing qualitative data that "doesn't end with subjectivity" - Insight management that accelerates product discovery
kaminashi
16
23k
姫路市 -都市OSの「再実装」-
hopin
0
1.7k
AI Agentの精度改善に見るML開発との共通点 / commonalities in accuracy improvements in agentic era
shimacos
6
1.4k
Any-Optical-Model: A Universal Foundation Model for Optical Remote Sensing
satai
3
230
【NICOGRAPH2025】Photographic Conviviality: ボディペイント・ワークショップによる 同時的かつ共生的な写真体験
toremolo72
0
200
2026 東京科学大 情報通信系 研究室紹介 (すずかけ台)
icttitech
0
950
Featured
See All Featured
We Have a Design System, Now What?
morganepeng
55
8k
30 Presentation Tips
portentint
PRO
1
260
Building Adaptive Systems
keathley
44
3k
Sam Torres - BigQuery for SEOs
techseoconnect
PRO
0
220
Building Better People: How to give real-time feedback that sticks.
wjessup
370
20k
Prompt Engineering for Job Search
mfonobong
0
220
Between Models and Reality
mayunak
2
240
Skip the Path - Find Your Career Trail
mkilby
1
88
Gemini Prompt Engineering: Practical Techniques for Tangible AI Outcomes
mfonobong
2
330
Evolving SEO for Evolving Search Engines
ryanjones
0
170
The Impact of AI in SEO - AI Overviews June 2024 Edition
aleyda
5
770
How Software Deployment tools have changed in the past 20 years
geshan
0
33k
Transcript
จհ #BMBODJOH3FMFWBODFBOE%JTDPWFSZ UP*OTQJSF$VTUPNFSTJOUIF*,&""QQ 3FD4ZTจಡΈձ ྛ !IBHJOP
"CPVUNF ✦ 4PGUXBSF&OHJOFFSBU70:"(&(3061 ✦ ࠂ৴ϓϩμΫτͷ։ൃΛ͍ͯ͠·͢ ✦ 3FD4ZTॳࢀՃ ✦ 5XJUUFS!IBHJOP
հ͢Δจ
༰ ✦ *,&"ΞϓϦͷ*OTQJSBUJPOBM'FFEʹ͓͚ΔϦίϝϯυํࡦʹ#BOEJU 'FFECBDLϩάͬͨϙϦγʔֶशΞϓϩʔνΛద༻ͨ͠ ✦ Ϣʔβʔ͕ΠϯεϐϨʔγϣϯΛಘΒΕΔ༷ʹDPVOUFSGBDUVBMSJTL NJOJNJ[BUJPOQSJODJQMF<>ʹج͍ͮͯํࡦΛֶशͨ͠ ✦ "#ςετͷ݁ՌɺڠௐϑΟϧλϦϯάʹΑΔํࡦͱൺֱͯ͠ΫϦοΫ ্͕ঢͨ͠
✦ ϖʔύʔʹଛࣦ࣮ؔݧ݁Ռ΄ͱΜͲॻ͍ͯͳ͔ͬͨͷͰɺ͜ͷൃ දޱ಄ൃද༰Λͬͯิ͍ͯ͠·͢
*OTQJSBUJPOBM'FFE ✦ Ϣʔβʔ༷ʑͳ෦ͷλΠϓʹ͋ΘͤͯՈ۩͕ ஔ͞ΕͨΠϝʔδ͕ӾཡͰ͖Δ ✦ ͜ͷϑΟʔυϢʔβʔʹؔ࿈͕͋ΓΠϯεϐ ϨʔγϣϯΛ༩͑Δͷʹ͍ͨ͠ɻڻ͖ͷཁૉ͕ ٻΊΒΕΔɻ 3FMFWBODFBOE%JTDPWFSZUP*OTQJSF
✦ ؔ࿈ੑʹಛԽͨ͠Ϧίϝϯυػೳطʹ͋Δ
$POUFYUVBMCBOEJUTXJUICBUDIMFBSOJOHGSPN MPHHFECBOEJUGFFECBDL ✦ Ͳͷը૾Λදࣔ͢Δ͔ ✦ $POUFYUVBM#BOEJUTͰܾΊΔ ✦ $POUFYUVBM#BOEJUTͷߦಈબϙϦγʔͷֶश ✦ όονͰΔ
㱠ΦϯϥΠϯֶश ✦ #BOEJU'FFECBDLϩάΛͬͯ܇࿅ ✦ CBTFEPOUIFQSJODJQMFPGDPVOUFSGBDUVBMSJTLNJOJNJ[BUJPO<> ✦ $PVOUFSGBDUVBM-FBSOJOH
✦ ߦಈ ✦ ը૾Λબͯ͠දࣔ͢Δࣄ ✦ ใु ✦ දࣔͨ͠ը૾͕ΫϦοΫ͞ΕΔ͔Ͳ͏͔㱨\ ^ ✦
ίϯςΩετ ✦ ΞϓϦ্ͷϢʔβʔࣗͷաڈͷ;Δ·͍ *OTQJSBUJPOBM'FFEͷ#BOEJUઃఆ
$POUFYUVBMCBOEJUT ܁Γฦ͠ҙࢥܾఆʹ͓͍ͯྦྷੵใुͷ࠷େԽΛૂ͏ํࡦͷͳ͔Ͱ ϥϯυຖͷίϯςΩετใΛར༻ͯ͠ٻΊͨείΞʹैͬͯߦಈΛબ͢ Δͷɻ؍ଌͨ͠ใुΛͬͯείΞϦϯάϞσϧΛߋ৽͍ͯ͘͠ɻ είΞϦϯάϞσϧʹઢܗϞσϧΛ࠾༻ͨ͠-JO6$#<>ͳͲɺ༷ʑͳํࡦ͕ఏҊ͞Ε͍ͯΔ
ࢀߟ-JO6$#<> ϥϯυUʹ͓͚ΔߦಈBͷ είΞใुͷظ ඪ४ภࠩºЋ είΞ͕࠷େͷߦಈΛ࣮ߦ ύϥϝʔλߋ৽
#BUDIMFBSOJOHGSPNMPHHFECBOEJUGFFECBDL ✦ CBOEJUGFFECBDLϩάΛֶͬͨश ✦ աڈͷߦಈબϙϦγʔʹΑΔόΠΞεͷิਖ਼͕ඞཁ ✦ ਪનγεςϜͷϩάجຊతʹCBOEJUGFFECBDL ✦ ΦϯϥΠϯֶशͰͳ͍ཧ༝ಛʹઆ໌͕ແ͔͕ͬͨ ✦
ϦΫΤετྔ͕ଟ͍αʔϏεͰόϯσΟοτΞϧΰϦζϜΛ͏߹ จͷखଓ͖௨ΓʹύϥϝʔλΛஞ࣍ߋ৽͢Δέʔεগͳ͍ͱࢥ͏ ✦ ΦϯϥΠϯֶशӡ༻͕େม
ิ#BOEJU'FFECBDLϩάΛֶͬͨश ✦ #BOEJU'FFECBDLϩάΛར༻ͨ͠৽͍͠ߦಈબϙϦγʔͷੑೳධՁΛߦͳ͏ ख๏ଘࡏ͢Δ ˠ0⒎1PMJDZ&WBMVBUJPO *OWFSTF1SPQFOTJUZ4DPSJOH %PVCMZ3PCVTU ʜ ✦
ੑೳධՁ͕࠷େʹͳΔ༷ʹߦಈબϙϦγʔΛֶश͢Εྑ͍ ✦ ߦಈΛBɺίϯςΩετΛYɺใुΛSͱͯ͠*14ͰධՁ͢Δ߹ КOFXͷ*14$PVOUFSGBDUVBM&TUJNBUPS
ߦಈબϙϦγʔͷֶश ϙϦγʔК͕ίϯςΩετYʹରͯ͠ߦಈZΛબͿ֬ είΞ ΛК ZcY ใुΛЎͱ͓͘ɻաڈͷϙϦγʔКͷείΞͱ؍ଌͨ͠ใुΛར༻ͯ͠ɺ৽ͨͳ ϙϦγʔКВΛֶश͢Δ ޱ಄ൃදεϥΠυ͔Βഈआ ͜ͷ··Ͱࢄͷ͕ग़ΔͷͰɺ<>Λࢀߟʹ͍͔ͭ͘ͷΛऔΓ͍Ε͍ͯΔͱͷઆ
໌͕͋ͬͨ
ଛࣦؔͷײతͳղऍ ใु͕ಘΒΕͨߦಈͰಛʹաڈͷϙϦγʔͷείΞ͕͍ߦಈͷείΞ্͕ ͕Εϩε͕Լ͕Δɻͭ·Γ͋·Γબ͠ͳ͔͕ͬͨΫϦοΫ͕ಘΒΕͨߦಈΛଟ͘ બͿ༷ʹֶश͢Δɻ ޱ಄ൃදεϥΠυ͔Βഈआ
ଛࣦؔͲ͔͜Βདྷͨͷ͔ ޱ಄ൃදεϥΠυͷࣜ3FGFSFODFʹ͋Δ 4XBNJOBUIBOΒ$PVOUFSGBDUVBMSJTL NJOJNJ[BUJPO-FBSOJOHGSPNMPHHFECBOEJU GFFECBDLz *$.- <>ʹ͓͚ΔఏҊख๏ ͷಋग़ͷং൫ʹ͋Δ*14ϕʔεͷࣜɻ ͳͷͰ࣮ࡍʹ͍ͬͯΔ
ͷ<>ͷఏҊख๏ͷࣜ ͩͱࢥΘΕΔ
$PVOUFSGBDUVBMSJTLNJOJNJ[BUJPO-FBSOJOHGSPNMPHHFE CBOEJUGFFECBDL *$.- <> ✦ *14ͷࢄ༝དྷͷΤϥʔΛόϯυ͢ΔVOCJBTFEFTUJNBUPSͰ͋Δ $3.$PVOUFSGBDUVBM3JTL.JOJNJ[BUJPOΛఏҊɺࢄΛਖ਼ଇԽ߲ʹ ✦ $3.Λֶश͢Δ܇࿅ΞϧΰϦζϜ10&.ͷఏҊ
ิ%PVCMZSPCVTUNFUIPEGPSDPVOUFSGBDUVBM MFBSOJOH Yuan, Bowen, et al. "Improving ad click prediction
by considering non-displayed events." Proceedings of the 28th ACM International Conference on Information and Knowledge Management. 2019.
ΦϯϥΠϯධՁ ✦ ධՁࢦඪ$53 ✦ ͷ্͕֬ೝͰ͖ͨ ✦ ڠௐϑΟϧλϦϯάϕʔεͷख๏ͱൺֱ ✦ ڠௐϑΟϧλϦϯά3FMFWBODFॏࢹ ✦
ॳͷతୡͰ͖ͨ ✦ આ໌ແ͔͕ͬͨʮࠓ·Ͱʹਪન͠ͳ͔ͬͨΞΠςϜΛଟ͘ਪન͢ΔࣄͰΫ ϦοΫ͕૿͑ͨʯˠ*OTQJSBUJPOΛ༩͑Δࣄ͕Ͱ͖ͨͱղऍͰ͖ͦ͏ ✦ ΫϦοΫ͕ݮ͍ͬͯͳ͍ˠϏδωεࢦඪΛᆝଛ͍ͯ͠ͳ͍
ͷ࣭ٙԠͷൈਮ 2%PVCMZ3PCVTUͰͳ͘*14ʹͨ͠ͷԿނ ಛʹΦϑϥΠϯධՁͰࢄ͕ʹͳΒͳ͔͔ͬͨ "%PVCMZ3PCVTUߟ͑ͳ͔ͬͨɻ͔͠͠ࢄΛ͑ΔͨΊʹεί ΞͷΫϦοϐϯάΛߦͳͬͨ 2"#ςετΛि͚ؒͩΒͤͨ͜ͱͰɺϢʔβʔ͕׳Ε͠Μͩ " ͱҧͬ
͍ͯͨͨΊ # ͷ$53͕ߴ͘ͳͬͨՄೳੑ͋Δ͔ "ͦͷޙҰ؏ͯ͠ߴ͍$53Λ͍ࣔͯ͠Δ͔ΒɺͦΕແ͍ͱߟ͍͑ͯΔ 2୳ࡧΛߦͳ͏ࣄͰΫϦοΫͷݮগΈΒΕͳ͔͔ͬͨ "શ͘ٯͰ૿Ճͨ͠
ࢀߟจݙ <>5ÓUI #BMÂ[T 4BOEIZB4BDIJEBOBOEBO BOE&NJM4+SHFOTFO#BMBODJOH3FMFWBODFBOE %JTDPWFSZUP*OTQJSF$VTUPNFSTJOUIF*,&""QQ'PVSUFFOUI"$.$POGFSFODFPO 3FDPNNFOEFS4ZTUFNT <>-J -JIPOH FUBM"DPOUFYUVBMCBOEJUBQQSPBDIUPQFSTPOBMJ[FEOFXTBSUJDMF
SFDPNNFOEBUJPO1SPDFFEJOHTPGUIFUIJOUFSOBUJPOBMDPOGFSFODFPO8PSMEXJEFXFC <>4XBNJOBUIBO "EJUI BOE5IPSTUFO+PBDIJNT$PVOUFSGBDUVBMSJTLNJOJNJ[BUJPO-FBSOJOH GSPNMPHHFECBOEJUGFFECBDL*OUFSOBUJPOBM$POGFSFODFPO.BDIJOF-FBSOJOH <>:VBO #PXFO FUBM*NQSPWJOHBEDMJDLQSFEJDUJPOCZDPOTJEFSJOHOPOEJTQMBZFE FWFOUT1SPDFFEJOHTPGUIFUI"$.*OUFSOBUJPOBM$POGFSFODFPO*OGPSNBUJPOBOE ,OPXMFEHF.BOBHFNFOU