Personalizing Explainable Recommendations with Multi-objective Contextual Bandits

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  • เผยแพร่เมื่อ 3 ธ.ค. 2024

ความคิดเห็น • 6

  • @zhangpeng932
    @zhangpeng932 2 ปีที่แล้ว +1

    very interesting and informative presentation thanks

  • @Xnaarkhoo
    @Xnaarkhoo 4 ปีที่แล้ว +5

    2:20 cracked me out - we all have been there

  • @ChrisadaSookdhis
    @ChrisadaSookdhis 5 ปีที่แล้ว +8

    I don't see much of the explainable part of the talk. Interesting nonetheless.

  • @bhalchandramadhekar7153
    @bhalchandramadhekar7153 4 ปีที่แล้ว +2

    Interesting Idea of fairness optimization not much proof it works, also no explanation how optimally groups are formed that too involves fairness questions i.e formation of groups.

    • @hr3nk
      @hr3nk ปีที่แล้ว

      I think by groups in context of Spotify they mean artists, although I could imagine there being multiple level of groups, like genre groups and language groups

  • @YT-yt-yt-3
    @YT-yt-yt-3 3 ปีที่แล้ว +5

    Annoying to hear this talk. Come on man. This is not race. There is no point in packing everything in 20 mins if the audience not going to understand it. Quality is important than quantity.