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DEIM2023 大規模Webデータにおけるキーワード・地域ごとの拡散パターン抽出

DEIM2023 大規模Webデータにおけるキーワード・地域ごとの拡散パターン抽出

taichi_murayama

March 13, 2023
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  1. େن໛Webσʔλʹ͓͚Δ
    Ωʔϫʔυɾ஍Ҭ͝ͱͷ֦ࢄύλʔϯநग़
    ଜࢁଠҰ, দݪ༃ࢠ, ᓎҪอࢤ
    େࡕେֶ, ࢈ۀՊֶݚڀॴ
    DEIM 2023

    View Slide

  2. 2
    ιʔγϟϧηϯαʔͷ໾ׂ
    എܠ
    ιʔγϟϧηϯαʔ ࣮ࡍͷࣾձ
    ౤ߘݕࡧ
    ϑΟʔυόοΫ

    View Slide

  3. 3
    Google Flu
    എܠ

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  4. 4
    ݕࡧΫΤϦ͔Βજࡏతͳؔ܎Λଊ͑ΒΕΔ͔ʁ
    Ϟνϕʔγϣϯ
    U.S.
    Japan
    Italy
    Facebook
    Twitter
    Instagram
    Facebook
    Twitter Instagram
    Q: Ωʔϫʔυؒͷؔ܎͸ʁ
    Q: 国同⼠の関係は?

    View Slide

  5. 5
    ໰୊ఆٛ
    (JWFO ΦϯϥΠϯ׆ಈσʔλ
    e.g., άʔάϧݕࡧ

    View Slide

  6. 6
    ໰୊ఆٛ
    (PBM ஍Ҭؒͷ֦ࢄύλʔϯ
    e.g., άʔάϧݕࡧ
    taylor swift
    lady gaga
    beyonce katy perry
    maroon 5
    stevie wonder
    Group A: Russia, Mexico,
    Spain, Vietnam, etc.
    Group B: United Kingdom,
    Germany, France, etc.
    Group C: United States,
    Canada, Australia, etc.
    Group D: Iran, Pakistan,
    Brazil, Argentina, etc.
    Group E: China, Japan,
    Vietnam, South Africa, etc.

    View Slide

  7. 7
    ໰୊ఆٛ
    (PBM Ωʔϫʔυؒͷؔ܎
    e.g., άʔάϧݕࡧ
    United States
    lady gaga maroon 5
    stevie
    wonder
    beyonce
    katy
    perry
    taylor
    swift
    Japan
    lady gaga maroon 5
    stevie
    wonder
    beyonce
    katy
    perry
    taylor
    swift

    View Slide

  8. 8
    ໰୊ఆٛ
    (PBM قઅੑ
    e.g., άʔάϧݕࡧ

    View Slide

  9. 9
    ໰୊ఆٛ
    (PBM ߴ͍༧ଌਫ਼౓
    e.g., άʔάϧݕࡧ
    2012 2014 2016 2018
    Time
    Keywords Countries
    Russia
    Mexico
    Colombia
    Modeling Forecasting
    beyonce
    katy perry
    stevie wonder
    taylor swift
    lady gaga
    maroon 5

    View Slide

  10. 10
    ໰୊ఆٛ
    GivenΦϯϥΠϯ׆ಈσʔλ
    Goal 1 ஍Ҭؒͷ֦ࢄύλʔϯ
    Goal 2 Ωʔϫʔυؒͷؔ܎
    Goal 3 قઅੑ
    Goal 4ߴ͍༧ଌਫ਼౓

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  11. 11
    ໰୊ఆٛ
    Our solution: FLUXCUBE
    拡散反応⽅程式
    +
    ニューラルネットワーク
    GivenΦϯϥΠϯ׆ಈσʔλ
    Goal 1 ஍Ҭؒͷ֦ࢄύλʔϯ
    Goal 2 Ωʔϫʔυؒͷؔ܎
    Goal 3 قઅੑ
    Goal 4ߴ͍༧ଌਫ਼౓

    View Slide

  12. 12
    ൓Ԡ֦ࢄํఔࣜ
    Our model: FLUXCUBE
    𝜕𝒖
    𝜕𝑡
    = 𝒇 𝒖, 𝑡 + 𝒟Δ𝑢
    Main Equation
    ൓Ԡ߲ ෼ࢄ߲
    Reaction-Diffusion System is utilized is
    a mathematical model corresponding
    for physical phenomena.

    View Slide

  13. 13
    Our model: FLUXCUBE
    𝜕𝒖
    𝜕𝑡
    = 𝒇 𝒖, 𝑡 + 𝒟Δ𝑢
    Main Equation
    ෼ࢄ߲
    Amazon
    BestBuy
    ebay
    Target
    ڝ߹ؔ܎
    ૬ޓؔ܎
    Macy’s
    Washington
    State
    Amazon
    Target
    ebay
    Craigslist
    قઅ߲
    ϒϥοΫϑϥΠσʔ
    +
    ×
    ൓Ԡ֦ࢄํఔࣜ
    ൓Ԡ߲

    View Slide

  14. 14
    Our model: FLUXCUBE
    ೖྗ: 𝝌 = 𝒙𝒕𝒊𝒋
    λΠϜεςοϓ U
    ஍Ҭ J ΞΠςϜ K
    𝜕𝒖
    𝜕𝑡
    = 𝒇 𝒖, 𝑡 + 𝒟Δ𝑢
    反応拡散⽅程式
    FLUXCUBE
    𝜕𝑥$%&
    𝜕𝑡
    = 𝒇 𝑥$%&
    |𝝌𝒕,𝒊,:
    + ℊ 𝑥$%&
    |𝝌𝒕
    , 𝒕
    𝑥$)*%&
    = 𝐹
    𝜕𝑥$%&
    𝜕𝑡
    + 𝑥$%&
    ൓Ԡ߲ ֦ࢄ߲
    قઅ߲

    View Slide

  15. 15
    Our model: FLUXCUBE
    𝜕𝒖
    𝜕𝑡
    = 𝒇 𝒖, 𝑡 + 𝒟Δ𝑢
    反応拡散⽅程式
    FLUXCUBE
    𝜕𝑥$%&
    𝜕𝑡
    = 𝒇 𝑥$%&
    |𝝌𝒕,𝒊,:
    + ℊ 𝑥$%&
    |𝝌𝒕
    , 𝒕
    𝑥$)*%&
    = 𝐹
    𝜕𝑥$%&
    𝜕𝑡
    + 𝑥$%&
    ൓Ԡ߲
    Amazon
    BestBuy
    ebay
    Target
    Competitive relationship
    Mutualistic relationship
    Macy’s

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  16. 16
    ൓Ԡ߲: ΞΠσΞ
    ΞΠςϜͷؔ܎͸δϟϯάϧͷಈ෺ͷؔ܎ͱྨࣅ (Matsubara, 2015)
    ൓Ԡ߲: FLUXCUBE
    Spider
    monkeys Capybaras
    Squirrel
    monkeys
    Macaws
    Fruits Nuts Grass
    Facebook Twitter Youtube Reddit
    Kids
    Teens
    Adults
    類似

    View Slide

  17. 17
    ൓Ԡ߲: ΞΠσΞ
    ϩτΧɾϘϧςϥํఔࣜ
    ൓Ԡ߲: FLUXCUBE
    Facebook Twitter Youtube Reddit
    Kids
    Teens
    Adults
    𝑎&
    𝝌𝒕,𝒊,𝒋
    1 −
    ∑&+
    𝑐&&+
    𝑥$%&+
    𝑏&

    View Slide

  18. 18
    ൓Ԡ߲: ΞΠσΞ
    ϩτΧɾϘϧςϥํఔࣜ
    ൓Ԡ߲: FLUXCUBE
    Facebook Twitter Youtube Reddit
    Kids
    Teens
    Adults
    𝑎&
    𝝌𝒕,𝒊,𝒋
    1 −
    ∑&+
    𝑐&&+
    𝑥$%&+
    𝑏&
    𝒄𝒋𝒋
    : ΩʔϫʔυKͱΩʔϫʔυK`
    ؒͷ૬ޓ࡞༻ͷڧ͞

    View Slide

  19. 19
    ൓Ԡ߲: ΞΠσΞ
    ϩτΧɾϘϧςϥํఔࣜ
    Reaction term: FLUXCUBE
    Facebook Twitter Youtube Reddit
    Kids
    Teens
    Adults
    𝑎&
    𝝌𝒕,𝒊,𝒋
    1 −
    ∑&+
    𝑐&&+
    𝑥$%&+
    𝑏&

    View Slide

  20. 20
    ൓Ԡ߲: ΞΠσΞ
    ϩτΧɾϘϧςϥํఔࣜ
    ൓Ԡ߲: FLUXCUBE
    Facebook Twitter Youtube Reddit
    Kids
    Teens
    Adults
    𝑎&
    𝝌𝒕,𝒊,𝒋
    1 −
    ∑&+
    𝑐&&+
    𝑥$%&+
    𝑏&

    View Slide

  21. 21
    ൓Ԡ߲: ΞΠσΞ
    ϩτΧɾϘϧςϥํఔࣜ
    ൓Ԡ߲: FLUXCUBE
    Facebook Twitter Youtube Reddit
    Kids
    Teens
    Adults
    𝑎&
    𝝌𝒕,𝒊,𝒋
    1 −
    ∑&+
    𝑐&&+
    𝑥$%&+
    𝑏&

    View Slide

  22. 22
    ൓Ԡ߲: ΞΠσΞ
    Lotka-Volterra Equation Λ൓Ԡ߲ͱͯ͠ར༻
    ൓Ԡ߲: FLUXCUBE
    𝒇 𝑥$%&
    |𝝌𝒕,𝒊,:
    = 𝑎&
    𝝌𝒕,𝒊,𝒋
    1 −
    ∑&+
    𝑐&&+
    𝑥$%&+
    𝑏&
    𝜕𝑥$%&
    𝜕𝑡
    = 𝒇 𝑥$%&
    |𝝌𝒕,𝒊,:
    + ℊ 𝑥$%&
    |𝝌𝒕
    , 𝒕
    FLUXCUBE:

    View Slide

  23. 23
    ֦ࢄ߲: FLUXCUBE
    𝜕𝒖
    𝜕𝑡
    = 𝒇 𝒖, 𝑡 + 𝒟Δ𝑢
    反応拡散⽅程式
    FLUXCUBE
    𝜕𝑥$%&
    𝜕𝑡
    = 𝒇 𝑥$%&
    |𝝌𝒕,𝒊,:
    + ℊ 𝑥$%&
    |𝝌𝒕
    , 𝒕
    𝑥$)*%&
    = 𝐹
    𝜕𝑥$%&
    𝜕𝑡
    + 𝑥$%&
    Seasonal term
    ֦ࢄ߲
    Washington
    State
    Amazon
    Target
    ebay
    Craigslist

    View Slide

  24. 24
    ֦ࢄ߲: ΞΠσΞ
    l Ωʔϫʔυؒͷ૬ޓ࡞༻͸֎෦ཁҼͳͲʹΑΓ
    ҰఆͰ͸ͳ͍
    l ෳࡶͳݱ৅΍ٸܹͳมԽͳͲʹΑͬͯੜ͡Δɼ
    ࣌ؒมԽ͢Δ૬ޓ࡞༻Λଊ͑Δඞཁ
    ֦ࢄ߲: FLUXCUBE
    Washington
    State
    Amazon
    Target
    ebay
    Craigslist

    View Slide

  25. 25
    ֦ࢄ߲: ΞΠσΞ
    l Ωʔϫʔυؒͷ૬ޓ࡞༻͸֎෦ཁҼͳͲʹΑΓ
    ҰఆͰ͸ͳ͍
    l ෳࡶͳݱ৅΍ٸܹͳมԽͳͲʹΑͬͯੜ͡Δɼ
    ࣌ؒมԽ͢Δ૬ޓ࡞༻Λଊ͑Δඞཁ
    ֦ࢄ߲: FLUXCUBE
    Washington
    State
    Amazon
    Target
    ebay
    Craigslist
    相互作⽤はPhysics-informed neural
    networksのアイデアを活⽤して
    RNNを利⽤

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  26. 26
    Physics-informed neural Network (PINN)
    l ෺ཧϞσϧͷؔ਺͸ਂ૚ֶशͰۙࣅՄೳ
    l ॱ໰୊: ํఔࣜͷۙࣅղ
    l ٯ໰୊: ؍ଌσʔλ͔ΒύϥϝʔλΛਪఆ
    l ༩͑ΒΕֶͨशσʔλͱɺٻΊ͍ͨύϥϝʔλ͕ํఔࣜΛຬ
    ͨ͢Α͏ʹղۭؒΛ੍ݶ͢Δ͜ͱͰద੾ͳύϥϝʔλΛਪఆ
    ֦ࢄ߲: FLUXCUBE
    ภඍ෼ํఔࣜͰ͋Δ֦ࢄ൓Ԡํఔࣜͷ
    ύϥϝʔλͷҰ෦Λ/FVSBM/FUXPSL
    ͰॊೈʹදݱΛࢼΈΔ

    View Slide

  27. 27
    ֦ࢄ߲: FLUXCUBE
    ℊ 𝑥$%&
    |𝝌𝒕
    , 𝒕 = 8 𝑅𝑁𝑁(1: 𝑡) ⊙ 𝝌𝒕
    𝜕𝑥$%&
    𝜕𝑡
    = 𝒇 𝑥$%&
    |𝝌𝒕,𝒊,:
    + ℊ 𝑥$%&
    |𝝌𝒕
    , 𝒕
    FLUXCUBE:
    l ૬ޓ࡞༻ͷਪఆʹRecurrent Neural NetworkΛར༻
    l ॱ໰୊: ํఔࣜͷۙࣅղ
    l ٯ໰୊: ؍ଌσʔλ͔ΒύϥϝʔλΛਪఆ
    l ਺ཧϞσϧͷҰ෦ʹχϡʔϥϧωοτϫʔΫΛ׆༻͢Δ͜ͱ
    ͰॊೈͳϞσϦϯάͱߴ͍આ໌ੑΛཱ྆

    View Slide

  28. 28
    RNNͷग़ྗ஋ʹΑͬͯɺ֤Ωʔϫʔυͷ֦ࢄͷӨڹΛදݱ
    ֦ࢄ߲: FLUXCUBE
    ℊ 𝑥$%&
    |𝝌𝒕
    , 𝒕 = 8 𝑅𝑁𝑁(1: 𝑡) ⊙ 𝝌𝒕
    𝑹𝑵𝑵(𝟏: 𝒕)
    Time
    カナダからフランスへ
    の各キーワードの影響
    の流れ

    View Slide

  29. 29
    قઅ߲: FLUXCUBE
    𝜕𝒖
    𝜕𝑡
    = 𝒇 𝒖, 𝑡 + 𝒟Δ𝑢
    拡散反応⽅程式
    FLUXCUBE
    𝜕𝑥$%&
    𝜕𝑡
    = 𝒇 𝑥$%&
    |𝝌𝒕,𝒊,:
    + ℊ 𝑥$%&
    |𝝌𝒕
    , 𝒕
    𝑥$)*%&
    = 𝐹
    𝜕𝑥$%&
    𝜕𝑡
    + 𝑥$%&
    قઅ߲
    Washington
    State
    Amazon
    Target
    ebay
    Craigslist

    View Slide

  30. 30
    ΦϯϥΠϯσʔλ͸ΫϦεϚε΍ϒϥοΫϑϥΠσʔͳͲ
    ͷقઅΠϕϯτʹԠͯ͡มԽ
    قઅ੒෼ͷநग़
    قઅ߲: FLUXCUBE
    𝑥$)*%&
    = 𝐹 ,-!"#
    ,$
    + 𝑥$%&
    = 1 + 𝑺$ ./0 1 %&
    ⊙ ,-!"#
    ,$
    + 𝑥$%&
    季節性の周期
    e.g., p = 52週間
    ϒϥοΫϑϥΠσʔ

    View Slide

  31. 31
    Our model: FLUXCUBE
    𝜕𝒖
    𝜕𝑡
    = 𝒇 𝒖, 𝑡 + 𝒟Δ𝑢
    反応拡散⽅程式
    FLUXCUBE
    𝜕𝑥$%&
    𝜕𝑡
    = 𝒇 𝑥$%&
    |𝝌𝒕,𝒊,:
    + ℊ 𝑥$%&
    |𝝌𝒕
    , 𝒕
    𝑥$)*%&
    = 𝐹
    𝜕𝑥$%&
    𝜕𝑡
    + 𝑥$%&
    ೖྗ: 𝝌 = 𝒙𝒕𝒊𝒋
    λΠϜεςοϓ U
    ஍Ҭ J ΞΠςϜ K
    ൓Ԡ߲ ֦ࢄ߲
    قઅ߲

    View Slide

  32. 32
    Fitting: FLUXCUBE
    Loss Function 𝝌𝒄 − @
    𝝌 𝟐 + 𝛼 8 𝐷 4 + 𝛽 8 𝑆 4
    ճؼ߲ εύʔε߲
    𝜕𝑥$%&
    𝜕𝑡
    = 𝒇 𝑥$%&
    |𝝌𝒕,𝒊,:
    + ℊ 𝑥$%&
    |𝝌𝒕
    , 𝒕
    𝑥$)*%&
    = 𝐹
    𝜕𝑥$%&
    𝜕𝑡
    + 𝑥$%&
    λΠϜεςοϓ U
    ஍Ҭ J ΞΠςϜ K
    ೖྗ: 𝝌 = 𝒙𝒕𝒊𝒋

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  33. 33
    l ଟ͘ͷ஍Ҭؒͷ૬ޓ࡞༻Λਪ࿦͢Δ͜ͱ͸ɺܭࢉίετ͕ߴ͍
    ஍ҬͷάϧʔϓΠϯά

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  34. 34
    l ଟ͘ͷ஍Ҭؒͷ૬ޓ࡞༻Λਪ࿦͢Δ͜ͱ͸ɺܭࢉίετ͕ߴ͍
    ஍ҬͷάϧʔϓΫϥελϦϯά
    解決策:
    学習前に似た地域を
    1つのグループとして扱う
    ΞϝϦΧ ೔ຊ
    ࣅͨ
    ૬ޓ࡞༻
    ಉ͡άϧʔϓ

    View Slide

  35. 35
    ஍ҬͷάϧʔϓΫϥελϦϯά
    𝒇 𝑥$%&
    |𝝌𝒕,𝒊,:
    = 𝑎&
    𝝌𝒕,𝒊,𝒋
    1 −
    ∑&+
    𝑐&&+
    𝑥$%&+
    𝑏&
    𝜕𝑥$%&
    𝜕𝑡
    = 𝒇 𝑥$%&
    |𝝌𝒕,𝒊,:
    + ℊ 𝑥$%&
    |𝝌𝒕
    , 𝒕
    FLUXCUBE:
    𝑔*, … 𝑔5$
    =K-means UMAP 𝒂𝒊, 𝒃𝒊, 𝑪𝒊 , 𝑖 = [1, … , 𝐿]
    各グループ
    を推定
    各地域の反応項のパラメータ
    地域の数
    ൓Ԡ߲

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  36. 36
    ஍ҬͷάϧʔϓΫϥελϦϯά
    𝒇 𝑥$%&
    |𝝌𝒕,𝒊,:
    = 𝑎&
    𝝌𝒕,𝒊,𝒋
    1 −
    ∑&+
    𝑐&&+
    𝑥$%&+
    𝑏&
    𝜕𝑥$%&
    𝜕𝑡
    = 𝒇 𝑥$%&
    |𝝌𝒕,𝒊,:
    + ℊ 𝑥$%&
    |𝝌𝒕
    , 𝒕
    FLUXCUBE:
    𝑔*, … 𝑔5$
    =K-means UMAP 𝒂𝒊, 𝒃𝒊, 𝑪𝒊 , 𝑖 = [1, … , 𝐿]
    Reaction term
    taylor swift
    lady gaga
    beyonce katy perry
    maroon 5
    stevie wonder
    Group A: Russia, Mexico,
    Spain, Vietnam, etc.
    Group B: United Kingdom,
    Germany, France, etc.
    Group C: United States,
    Canada, Australia, etc.
    Group D: Iran, Pakistan,
    Brazil, Argentina, etc.
    Group E: China, Japan,
    Vietnam, South Africa, etc.
    最適なグループ数 (𝑑!)を
    Model Description Cost
    (MDL) を⽤いて探索
    各グループ
    を推定
    各地域の反応項のパラメータ
    地域の数

    View Slide

  37. 37
    ࣮ݧઃఆ
    l 13, 26, 52 िؒઌͷ༧ଌ஋ͷਫ਼౓ΛධՁ
    l ධՁࢦඪ
    l RMSE, MAE: খ͍͞஋Ͱ͋Δ΄Ͳߴ͍ਫ਼౓
    σʔληοτ
    l Google Trend͔ΒऔಘՄೳͳ10೥ؒ
    ͷ1िؒ͝ͱͷݕࡧ਺ (7छྨ)
    ࣮ݧ

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  38. 38
    ࣮ݧ݁Ռ
    ࣮ݧ

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  39. 39
    ࣮ݧ݁Ռ
    ࣮ݧ

    View Slide

  40. 40
    ࣮ݧ݁Ռ
    ࣮ݧ

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  41. 41
    Ablation Study
    ࣮ݧ
    𝜕𝑥$%&
    𝜕𝑡
    = 𝒇 𝑥$%&
    |𝝌𝒕,𝒊,:
    + ℊ 𝑥$%&
    |𝝌𝒕
    , 𝒕
    𝑥$)*%&
    = 𝐹
    𝜕𝑥$%&
    𝜕𝑡
    + 𝑥$%&
    قઅ߲Λ࡟আ
    ֦ࢄ߲Λ࡟আ
    ֦ࢄ߲Λఆ਺ʹஔ͖׵͑
    ఏҊϞσϧ

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  42. 42
    Ablation Study
    ࣮ݧ
    𝜕𝑥$%&
    𝜕𝑡
    = 𝒇 𝑥$%&
    |𝝌𝒕,𝒊,:
    + ℊ 𝑥$%&
    |𝝌𝒕
    , 𝒕
    𝑥$)*%&
    = 𝐹
    𝜕𝑥$%&
    𝜕𝑡
    + 𝑥$%&
    ℊ 𝑥)*+|𝝌𝒕 , 𝒕 = + 𝑅𝑁𝑁(1: 𝑡) ⊙ 𝝌𝒕
    𝜶 ⊙ 𝝌𝒕
    قઅ߲Λ࡟আ
    ֦ࢄ߲Λ࡟আ
    ֦ࢄ߲Λఆ਺ʹஔ͖׵͑
    ఏҊϞσϧ

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  43. 43
    Case study1: Vod
    Case Study
    AppleTV / ESPN / HBO / Hulu / Netflix
    Sling / Vudu / Youtube
    Keyword List

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  44. 44
    Case study1: Vod
    Case Study
    ૬ޓ࡞༻

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  45. 45
    Case study1: Vod
    Case Study
    影響の流れ

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  46. 46
    Case study2: SNS
    Case Study
    Line/facebook/slack/snapchat/
    twitter/viber/whatsapp
    Keyword List

    View Slide

  47. 47
    Case study2: SNS
    Case Study
    ૬ޓ࡞༻

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  48. 48
    Case study2: SNS
    Case Study
    影響の流れ

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  49. 49
    l FLUXCUBE: ൓Ԡ֦ࢄํఔࣜͱੜଶܥΛදݱ͢Δ਺ཧϞσϧ -PULB
    7PMUFSB NPEFM
    ʹجͮ͘ϞσϦϯάख๏ɽೖྗ͞Εͨσʔλʹજࡏత
    ʹଘࡏ͢Δقઅੑ΍૬ޓ࡞༻ͳͲͷྗֶతͳؔ܎Λநग़
    l (PPHMF5SFOEΛ༻͍ͨσʔλΛ༻͍ͯɼఏҊϞσϧͷ༗ޮੑΛఏࣔ
    l ؍ଌσʔλͷഎޙʹଘࡏ͢Δજࡏతͳ૬ޓ࡞༻΍ӨڹͷྲྀΕΛɼਓؒ
    ͕ղऍՄೳͳܗΛఏڙ
    ࠓޙͷల๬
    l ࣗಈతʹؔ܎ͷ͋ΔΩʔϫʔυͱؔ܎ͷͳ͍ΩʔϫʔυΛ۠ผ͢Δ͜
    ͱΛݕ౼
    ·ͱΊ

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