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  • All (20931) +237
  • AI (3154) +13
  • DevOps (932) +6
  • Software (11018) +167
  • IT (5778) +50
  • Education (48)
  • Notice
  • All (20931) +237
    • AI (3154) +13
    • DevOps (932) +6
    • Software (11018) +167
    • IT (5778) +50
    • Education (48)
  • Notice
  • All (20931) +237
  • AI (3154) +13
  • DevOps (932) +6
  • Software (11018) +167
  • IT (5778) +50
  • Education (48)
  • Notice
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  • 4 days ago · ai

    Adapting the Facebook Reels RecSys AI Model Based on User Feedback

    We’ve improved personalized video recommendations on Facebook Reels by moving beyond metrics such as likes and watch time and directly leveraging user feedback....

    #recommendation systems #Facebook Reels #user feedback #personalization #machine learning #UTIS model #engagement
  • 1 month ago · ai

    I’m experimenting with purchase history as a signal for product recommendations. Curious what I’m missing.

    The problem I’m exploring Most recommendation systems I’ve worked with or studied lean heavily on one of two things: - Browsing behavior clicks, views, dwell t...

    #recommendation-systems #purchase-history #personalization #ecommerce #machine-learning
  • 1 month ago · ai

    Booking.com’s agent strategy: Disciplined, modular and already delivering 2× accuracy

    When many enterprises weren’t even thinking about agentic behaviors or infrastructures, Booking.com had already “stumbled” into them with its homegrown conversa...

    #AI agents #conversational AI #recommendation systems #Booking.com #machine learning
  • 1 month ago · ai

    Recent Breakthrough: 'Netflix Replay' AI Technology

    Overview Imagine binge‑watching your favorite TV show and having an AI predict how much you’ll enjoy each upcoming episode based on your viewing history and pr...

    #Netflix #AI #recommendation systems #predictive analytics #machine learning #viewer personalization
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