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Synapse: 利用者の文脈に応じて 継続的に推薦手法の選択を 最適化する推薦システム/iot45_synapse

Synapse: 利用者の文脈に応じて 継続的に推薦手法の選択を 最適化する推薦システム/iot45_synapse

第45回 情報処理学会 インターネットと運用技術研究会
https://www.ipsj.or.jp/kenkyukai/event/csec85iot45.html

monochromegane

May 24, 2019
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  1. ࡾ୐༔հ / Pepabo R&D Institute, GMO Pepabo, Inc.
    2019.05.24 ୈ45ճ ৘ใॲཧֶձ Πϯλʔωοτͱӡ༻ٕज़ݚڀձ
    Synapse: ར༻ऀͷจ຺ʹԠͯ͡
    ܧଓతʹਪનख๏ͷબ୒Λ
    ࠷దԽ͢ΔਪનγεςϜ

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  2. 1. ͸͡Ίʹ
    2. എܠ
    3. ఏҊख๏
    4. ධՁ
    5. ·ͱΊ
    2
    ໨࣍

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  3. 1.
    ͸͡Ίʹ

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  4. • ECαΠτͰ͸঎඼૿େʹ൐͏৘ใաଟ໰୊Λղܾ͢ΔͨΊ঎඼Λࣗಈతʹఏ
    Ҋ͢ΔػೳʢਪનγεςϜʣ͕ಋೖ͞ΕΔɽ
    • ਪનख๏͸ਪનࠜڌͱͳΔ৘ใݯ΍ํࣜʹΑͬͯબఆ͢Δ঎඼͕ҟͳΔ
    • ར༻ऀͷཁٻΛຬͨ͢঎඼Λબఆ͢ΔՄೳੑͷߴ͍ਪનख๏Λબ୒͢Δ͜ͱ͕
    ӡӦऀʹͱͬͯॏཁ
    4
    ݚڀͷ໨త

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  5. • Which is the best ?
    • ಺༰ϕʔεܕਪન
    • ྨࣅը૾
    • ྨࣅςΩετ
    • ڠௐܕਪન
    • ஌ࣝϕʔεܕਪન
    • ϋΠϒϦουܕਪન
    • ฒྻܕɼ௚ྻܕ…
    5
    ਪનख๏ͷબ୒

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  6. • Which is the best
    • ಺༰ϕʔεܕਪન
    • ྨࣅը૾
    • ྨࣅςΩετ
    • ڠௐܕਪન
    • ஌ࣝϕʔεܕਪન
    • ϋΠϒϦουܕਪન
    • ฒྻܕɼ௚ྻܕ…
    6
    ಛఆͷ৚݅Ͱͷਪનख๏ͷબ୒
    • In the case ?
    • ਫ਼౓΍଎౓
    • ঎඼ͷಛੑ
    • ಺༰ͷදݱྗ
    • ίʔϧυελʔτ
    • ۙࣅ
    • จ຺
    • ར༻ऀͷঢ়گͱཁٻ

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  7. • Which is the best
    • ಺༰ϕʔεܕਪન
    • ྨࣅը૾
    • ྨࣅςΩετ
    • ڠௐܕਪન
    • ஌ࣝϕʔεܕਪન
    • ϋΠϒϦουܕਪન
    • ฒྻܕɼ௚ྻܕ…
    7
    ECαΠτͷಛఆͷ৚݅Ͱͷਪનख๏ͷબ୒
    • In the case
    • ਫ਼౓΍଎౓
    • ঎඼ͷಛੑ
    • ಺༰ͷදݱྗ
    • ίʔϧυελʔτ
    • ۙࣅ
    • จ຺
    • ར༻ऀͷঢ়گͱཁٻ
    • On a EC site ?
    • ܧଓతͳվળ
    • ػೳ௥Ճ
    • ར༻ऀ૿Ճ
    • அଓతͳվѱ
    • ෆ۩߹
    • γεςϜෛՙ
    • ݱࡏͷ࠷ળखͷ௥ٻ

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  8. ਪનख๏ͷ༏ྼ͸ଟ͘ͷ৚݅ʢจ຺ʣʹΑͬͯࠨӈ͞ΕΔ
    8
    ݚڀͷഎܠͱఏҊͷࠎࢠ
    ࣄલʹఆΊͨจ຺͝ͱʹਪનख๏ͷબ୒Λࣗಈత͔ͭܧଓతʹ࠷దԽ͢Δਪન
    γεςϜͷఏҊ
    ༗ޮͳਪનख๏Λػձଛࣦ͕ͳ͍Α͏ʹจ຺ʹԠͯ͡࢖͍෼͚͍ͨ

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  9. 3.
    എܠ

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  10. • ᶃ ਪનख๏ͷ༏ྼ͕จ຺ʹΑͬͯมԽ͢Δ
    • ᶄ ༏ྼͷมԽ͢Δ൚༻తͰ໌֬ͳج४͕ͳ͍
    • ᶅ ༏ྼ͕ܧଓతʹมԽ͢Δ
    10
    ਪનख๏ͷબ୒ʹ·ͭΘΔ՝୊
    ECαΠτͷӡӦऀ͸ར༻ऀͷཁٻΛຬͨ͢Մೳੑͷߴ͍ਪનख๏Λબ୒͍ͨ͠
    ͕ɼҎԼͷ՝୊ͷͨΊಋೖઌ͝ͱͷධՁͱௐ੔͕ߦΘΕ͍ͯΔɽ

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  11. 11
    ՝୊ᶃ ਪનख๏ͷ༏ྼ͕จ຺ʹΑͬͯมԽ͢Δ
    • ਪનख๏ͷ༏ྼ͸ଟ͘ͷ৚݅ʢจ຺ʣʹΑͬͯࠨӈ͞ΕΔ
    • ਪનख๏ͷલఏ΍ํࣜʹىҼ͢Δ੍໿
    • ਪનର৅ͱͳΔ঎඼ͷಛੑ
    • Ԡ౴଎౓΍දࣔॱংͳͲͷ࣮૷ཁҼ
    • ΫϦοΫ཰΍ߪೖ཰ͳͲͷධՁࢦඪ
    • ਪન݁ՌΛධՁ͢Δར༻ऀଆͷঢ়گ

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  12. 12
    ՝୊ᶃ ਪનख๏ͷ༏ྼ͕จ຺ʹΑͬͯมԽ͢Δ
    ਪનର৅ͱͳΔ঎඼ͷಛੑɼධՁࢦඪʹΑΔ༏ྼࠩͷྫ

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  13. 13
    ՝୊ᶃ ਪનख๏ͷ༏ྼ͕จ຺ʹΑͬͯมԽ͢Δ
    ਪનख๏ͷ༏ྼ͸ଟ͘ͷ৚݅ʢจ຺ʣʹΑͬͯࠨӈ͞ΕΔ
    ৚݅ʢจ຺ʣΛఆΊͯɼจ຺͝ͱʹదͨ͠ਪનख๏Λ࢖͍෼͚Δ͜ͱͰਪનγ
    εςϜશମͰར༻ऀͷཁٻΛຬͨ͢঎඼Λબఆ͢ΔՄೳੑΛߴΊ͍ͨ

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  14. 14
    ՝୊ᶄ ༏ྼͷมԽ͢Δ൚༻తͰ໌֬ͳج४͕ͳ͍
    • ༏ྼࠩͷج४ʹ͍ͭͯͷҰൠతͳ܏޲͸͜Ε·Ͱͷใࠂ΍ධՁߟ࡯͕͋Δ΋ͷ
    ͷจ຺ґଘͷͨΊ൚༻తͰ໌֬ͳج४͸ଘࡏ͠ͳ͍
    • Ұൠతͳ܏޲΍ߟ࡯ʹج͖ͮͭͭ΋ɼ࣮؀ڥͰͷධՁʹΑͬͯ࢖͍෼͚ͷج४
    ΛٻΊΔඞཁ͕͋Δ

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  15. • ϋΠϒϦουܕਪન
    • ਪનख๏Λ૊Έ߹Θ֤ͤͯख๏ͷ୹ॴΛิ͏
    • ߪങཤྺ͕஝ੵ͞ΕΔ·Ͱ͸಺༰ϕʔεΛॏࢹɼ஝ੵޙʹڠௐܕΛॏࢹ౳
    15
    ՝୊ᶄ ༏ྼͷมԽ͢Δ൚༻తͰ໌֬ͳج४͕ͳ͍
    $53





    )JTUPSZDPVOU
    -PX .JEEMF )JHI
    $POUFOUCBTF $PDPSBCPSBUFCBTF
    ڠௐܕਪન͕ߪങཤྺͷ஝ੵʹΑͬͯਫ਼౓͕޲্͠಺༰ϕʔεܕ
    ਪનͷਫ਼౓ͱٯస͢Δ͜ͱΛදݱͨ͠໛ࣜਤ
    ߪങཤྺͷ஝ੵ͕۩ମతʹԿ݅ʹୡͨ࣌͠ʹ಺༰ϕʔεܕਪનͱ
    ੾Γସ͑Δ΂͖͔͸࣮؀ڥͰͷධՁ͕ඞཁ

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  16. 16
    ՝୊ᶅ ༏ྼ͕ܧଓతʹมԽ͢Δ
    ECαΠτ͸ɼ࣮؀ڥͰͷධՁʹΑͬͯಘΒΕͨ৚݅͝ͱͷޮՌࠩʹج͍ͮͨਪ
    નख๏ͷ࢖͍෼͚ʹΑͬͯਪનγεςϜͷޮՌΛܧଓతʹ࠷େԽ͍ͨ͠
    1. จ຺ͷ੾Γ෼͚
    2. ৽͍͠ਪનख๏ͷಋೖ
    3. ಋೖޙͷ࠶ܭଌɼޮՌ൑ఆɼޮՌతͳख๏ͷద༻
    ͜ΕΒΛఆظత͔ͭ࠷୹ͰߦΘͳ͚Ε͹ӡ༻؀ڥͰ͸ػձଛࣦ͕ൃੜ͢Δ

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  17. 3.
    ఏҊख๏

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  18. • ᶃ ਪનख๏ͷ༏ྼ͕จ຺ʹΑͬͯมԽ͢Δ
    • จ຺ΛఆΊͯɼఆΊͨจ຺͝ͱʹਪનख๏Λ࢖͍෼͚Δ
    • ᶄ ༏ྼͷมԽ͢Δ൚༻తͰ໌֬ͳج४͕ͳ͍
    • ఆΊͨจ຺͝ͱʹ࣮؀ڥͰͷධՁΛߦ͏
    • ᶅ ༏ྼ͕ܧଓతʹมԽ͢Δ
    • จ຺΍ਪનख๏ͷಋೖޙʹ࣌ؒࠩͳ͘దԠ͢Δ
    18
    ՝୊ͷ੔ཧ

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  19. • ར༻ऀͷཁٻΛຬͨ͢঎඼Λબఆ͢ΔՄೳੑͷߴ͍ਪનख๏Λӡ༻؀ڥͰػձ
    ଛࣦ͕ൃੜ͠ͳ͍Α͏ࣗಈత͔ͭܧଓతʹར༻͍ͨ͠
    19
    ఏҊख๏
    1. จ຺ͷఆٛͱಋೖ
    2. ৽͍͠ਪનख๏ͷಋೖ
    3. ಋೖޙͷ࠶ܭଌɼޮՌ൑ఆɼޮՌతͳख๏ͷద༻
    • ࣄલʹఆΊͨจ຺͝ͱʹਪનख๏ͷબ୒Λࣗಈత͔ͭܧଓతʹ࠷దԽ͢Δਪન
    γεςϜΛఏҊ

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  20. 20
    ਪનख๏ͷಋೖ
    • ධՁର৅ͷਪનख๏ΛਪનγεςϜ͕౳Ձʹѻ͑ΔΑ͏ڞ௨ͷΠϯλʔϑΣʔ
    εΛ࣋ͭϞδϡʔϧͱͯ͠ఆٛ
    • ਪનॲཧ͸ڞ௨͢ΔϑΟϧλʹΑͬͯߏ੒͞ΕΔ
    • Profileʢར༻ऀͷ৘ใΛऩूʣ
    • AssociationʢϓϩϑΝΠϧͱ৚݅ͷඥ෇͚ʣ
    • Searchʢ৚݅ʹै͍ީิΛݕࡧɼฒସ͑ʣ
    • ϑΟϧλͷڞ௨ར༻ʹΑΓอकੑͷ޲্

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  21. • ਪન݁Ռʹର͢Δར༻ऀͷ൓ԠΛܭଌ͢ΔͨΊͷϩάઃܭ
    • ར༻ऀ͝ͱͷϦΫΤετΛه࿥
    • ར༻ऀ͝ͱͷਪનϦΫΤετʹର͢Δਪન݁ՌΛه࿥
    • ਪનϦΫΤετͷ௚ޙͷߦಈ͕ਪન݁Ռͷ঎඼ʹؔ͢Δߦಈ͔Λൺֱ
    21
    จ຺͝ͱͷܭଌͱධՁ
    5JNF $POUFYU .FUIPE 6TFS 1BUI 1BSBNT 3FTQPOTF
    $IBJS JNBHF " SFDPNNFOE
    " TIPX
    $IBJS DG # SFDPNNFOE
    # TIPX
    ਪનͷडೖ

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  22. • ෳ਺ͷਪનख๏͔ΒಘΒΕΔޮՌΛ࠷େԽ͢Δ
    • ଟ࿹όϯσΟοτ໰୊ͱͯ͠ղऍ͠ɼෳ਺ͷਪનख๏ͷޮՌʢΫϦοΫ཰΍ߪ
    ೖ཰ʣΛ࠷େԽ͢ΔͨΊEpsilon-GreedyΞϧΰϦζϜΛ࠾༻
    • A/Bςετʹ͓͚Δ௿ධՁͷख๏ར༻࣌ͷػձଛࣦΛճආ͢ΔͨΊͷख๏
    • ࠷ॳ͸A/BςετͷΑ͏ʹಉස౓Ͱ੾Γସ͑Δ͕ධՁͷ஝ੵʢใु:rewardʣ
    ʹ൐͍ར༻ස౓ʹॏΈ෇͚͕ͳ͞ΕΔ
    22
    จ຺͝ͱͷධՁ








    Џ
    ׆༻
    ୳ࡧ
    &QTJMPO(SFFEZΞϧΰϦζϜ

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  23. 23
    ධՁ݁Ռͷ൓ө
    ਪનγεςϜ͸ɼଟ࿹όϯσΟοτ໰୊ͱͯ͠ѻͬͨจ຺͝ͱͷޮՌతͳਪનख
    ๏ͷબ୒݁ՌΛఆظతʹऔΓࠐΈɼEpsilon-GreedyΞϧΰϦζϜͷॏΈ෇͚ʹ
    ै͍׆༻ํ਑Λมߋ͢Δ

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  24. Synapse
    24
    Context Routing
    Context Context
    Method Method Method Method
    Matching Process
    0.33 0.33 0.33
    Search
    Result
    Bandit
    Activity log
    Rewards
    Algorithms
    Epsilon-
    Greedy
    Softmax
    Feedback

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  25. Synapse
    25
    Context Routing
    Context Context
    Method Method Method Method
    Matching Process
    0.1 0.8 0.1
    Search
    Result
    Bandit
    Activity log
    Rewards
    Algorithms
    Epsilon-
    Greedy
    Softmax
    Feedback

    View Slide

  26. 4.
    ධՁ

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  27. • ECαΠτͰར༻தͷਪનख๏ͷΫϦοΫ཰࣮੷ʹΑΔఏҊख๏ͷޮՌ༧ଌ
    • ΫϦοΫ཰࣮੷ɿӾཡதͷ঎඼ʹର͢Δਪન঎඼ΛఏҊ͢Δػೳ
    • ਪનख๏ɿྨࣅը૾ɼྨࣅςΩετɼڠௐܕਪનʢϓϦϛςΟϒɼLLRʣɼ
    σϞάϥϑΟοΫ
    • ϞϯςΧϧϩ๏ʹΑΔྦྷੵใु༧ଌΛൺֱ
    • ࣄલʹఆΊΔจ຺ͱͯ͠Ӿཡதͷ঎඼ͷΧςΰϦΛ࠾༻
    • ࠷దԽͷޮՌଌఆɿ࠷దԽʹΑΔྦྷੵใु༧ଌͷมԽΛൺֱ
    • จ຺ͷޮՌଌఆɿจ຺͝ͱͷ࠷దԽͷ༗ແͰྦྷੵใु༧ଌͷมԽΛൺֱ
    27
    จ຺Λߟྀͨ͠ਪનख๏ͷબ୒ͷ࠷దԽ

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  28. จ຺͝ͱͷਪનख๏ͷޮՌͷࠩ
    28
    • จ຺͸ɼར༻ऀ͕Ͳͷ঎඼Χ
    ςΰϦΛݟ͍ͯΔ͔
    • ਪનख๏͔ΒͷఏҊʹର͢Δ
    ΫϦοΫ཰Λൺֱ
    • ΧςΰϦ͝ͱʹਪનख๏ͷޮ
    Ռͷ͕ࠩ͋Δ͜ͱ͕ݟͯऔΕ
    Δ
    ঎඼ΧςΰϦ͸ར༻ऀͷจ຺ͷ͏ͪγεςϜ͕೺
    ѲͰ͖Δ΋ͷͰଞͷECαΠτͰ΋ల։͠΍͍͢ɽ

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  29. ྦྷੵใु༧ଌ
    29
    • ࠷దԽΛߦͳ͍ͬͯͳ͍΋ͷ(1.
    No optimization) ͱൺֱͯ͠ ࠷ద
    ԽΛ͓͜ͳͬͨ΋ͷʢ2. Overall
    optimization, 3. Category-wise
    optimizationʣͷྦྷੵใु༧ଌ͕
    ߴ͍
    • ࠷ऴతͳྦྷੵใु༧ଌ͸จ຺ߟྀ
    ͨ͠࠷దԽ(3. Category-wize
    optimization)͕࠷΋ߴ͍

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  30. ྦྷੵใु༧ଌʢ্ཱ͕ͪΓʣ
    30
    • ࠷ॳͷൺֱͷઌ಄1000ճͷΈΛൺ
    ֱͨ͠΋ͷ
    • จ຺ߟྀ(3. Category-wise
    optimization)ͷ৔߹ɼจ຺͝ͱʹ
    ֶश͕ߦΘΕΔ͜ͱ͔Β্ཱ͕ͪ
    Γʹ͸͕͔͔࣌ؒͬͨ

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  31. ྦྷੵใु༧ଌʢ༏ྼࠩͷগͳ͍΋ͷʣ
    31
    • ࠷ॳͷൺֱͷΫϦοΫ཰ͷࠩΛҙ
    ਤతʹ௿Ίͨ΋ͷ
    • ࠷ॳͷ࣮ݧͱಉ͡ॱҐ͚ͮʹͳΔ
    ͕༏ྼࠩͷ൑அ·Ͱʹଟ͘ͷࢼߦ
    ճ਺Λཁͨ͠

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  32. • ਪનख๏ͷ༏ྼΛॿ௕͢Δద੾ͳ৚݅Λબఆͯ͠ɼ͜ΕʹԠͨ͡ਪનख๏ͷબ
    ୒ͷ࠷దԽΛߦ͏͜ͱͰྦྷੵใुֹͷ޲্ʹͭͳ͕Δ
    • ຊݚڀ͸؀ڥͷมԽͷଟ͍ঢ়گΛҙਤ͍ͯ͠Δ͜ͱ͔Βɼগͳ͍ࢼߦճ਺Ͱͷ
    ࠷దԽΛਤΕΔΑ͏ͳํࡦʹΑΔվળ͕ظ଴Ͱ͖Δ
    • ࢼߦճ਺ͷ૿Ճʹ൐͍୳ࡧ཰Λ௿ΊΔʢΞχʔϦϯάʣ
    • ଞͷόϯσΟοτΞϧΰϦζϜʢUCB, softmax…)
    • จ຺෇͖όϯσΟοτ
    32
    ධՁ

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  33. 5.
    ·ͱΊ

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  34. • ར༻ऀͷจ຺ʹԠͯ͡ਪનख๏ͷಘखෆಘख͕͋Δ͜ͱ͕Θ͔ͬͨ
    • ఏҊख๏ʹΑΓख๏ಋೖͱจ຺ʹԠͨ͡࠷దͳख๏બఆ͕༰қʹͳΓɼػձଛ
    ࣦͷͳ͍ਪનγεςϜΛޮ཰తͳߏங͕Մೳͱͳͬͨ
    • ݱࡏɼจ຺ΛࣄલʹఆΊΔඞཁ͕͋ΔͨΊɼಘखෆಘख͕ੜ͡Δจ຺ʹ͍ͭͯ
    ௐࠪΛਐΊΔ
    • ಘखෆಘखΛิ͍߹͑ΔΑ͏ʹͳͬͨ͜ͱͰɼݶఆతͰ͋ͬͯ΋ޮՌͷߴ͍ਪ
    નख๏ͷ༗༻ੑ͕૿͢͜ͱ͕ߟ͑ΒΕΔͨΊɼͦͷΑ͏ͳख๏ͷݕ౼ΛਐΊΔɽ
    34
    ·ͱΊ

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