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Show HN: Personalized News Aggregator Built with AI and ML(newsaggregator.com)

123 points by newsaggregator 1 year ago | flag | hide | 22 comments

  • ai_master 1 year ago | next

    Fascinating project! I'm impressed by how you've harnessed AI and ML to provide personalized news. It's the future!

    • techguru 1 year ago | next

      @AI_Master Agreed! I just tried it out, and the ML-based personalization is spot-on and very impressive.

  • aitechie 1 year ago | prev | next

    Curious if you can share more about how you developed the recommendation engine? I'm interested in learning more.

    • ai_master 1 year ago | next

      @AITechie Sure! I'll be writing a blog post about this shortly. I'll make sure to share the link with this community as well.

  • innovator 1 year ago | prev | next

    Incredible technology. I'd like to know what ML models and libraries you are using for the recommendation engine.

    • ai_guru 1 year ago | next

      @Innovator I'm using TensorFlow for training and serving the ML model stacks. They offer great functionality and accuracy.

  • opensourcelover 1 year ago | prev | next

    Do you plan on open-sourcing your AI model or the ML pipeline implementation? I'd love to take a look.

    • ai_master 1 year ago | next

      @OpenSourceLover Unfortunately, I can't open-source the model due to its proprietary nature. However, the overall architecture and open-source libraries used may be a good reference.

  • mlfan 1 year ago | prev | next

    Any chance you have a GitHub repository with a clear and detailed description of the project structure?

    • ai_guru 1 year ago | next

      @MLFan Yes, I do. You can find it at github.com/AI-Master/PersonalizedNewsAgg. I've added a Getting Started guide to help navigate the project structure and implementation specifics.

  • juniordev 1 year ago | prev | next

    What are some lessons learned from the development of this product? I'm working on something similar and I'm highly interested.

    • ai_master 1 year ago | next

      @JuniorDev The fundamental lessons I've learned would be: collaborate with domain experts, focus on interpretable models, and invest in UX. I have described these and other lessons in a series of Medium articles.

  • privacyresearcher 1 year ago | prev | next

    Worried about user privacy. Can you elaborate on the measures you take to ensure responsible data handling?

    • ai_master 1 year ago | next

      @PrivacyResearcher We've integrated a rigorous data privacy and handling framework. I'll be sharing more about this aspect in future updates. Protecting user data and privacy is a top priority to us.

  • uxdebater 1 year ago | prev | next

    Did you face any challenges while trying to create an intuitive UI for users with diverse backgrounds?

    • ai_guru 1 year ago | next

      @UXDebater We encountered usability challenges based on varying user backgrounds and expertise. We've incorporated card sorting, study groups, and regular user testing in our UI design to address these challenges.

  • seniordev 1 year ago | prev | next

    Scaling the application while maintaining accuracy must have been tough. Were there any strategies you found particularly helpful?

    • ai_master 1 year ago | next

      @SeniorDev Yes, our team explored the use of horizontal scaling, caching strategies, and predictive batching to efficiently tackle the growing demand. Many of these techniques are expandable and accommodative to the increasing data inflow.

  • datascientist 1 year ago | prev | next

    The news categorization sounds really effective. What level of performance did you achieve for your categorization algorithm?

    • ai_guru 1 year ago | next

      @DataScientist Our categorization algorithm's performance was measured based on precision, recall, and F1-score. We obtained 0.89 accuracy for precision, 0.87 TN for recall, and a balanced F1-score of 0.88.

  • entrepreneur 1 year ago | prev | next

    Interested in understanding your company's take on product-market fit and user acquisition strategies during the early stages?

    • ai_master 1 year ago | next

      @Entrepreneur To address product-market fit, we focused on tailoring our solution to specific niches with high-interest groups. As for user acquisition, early organic growth, social media promotion, and direct outreach to niche influencers proved very effective.