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

123 points by newsaggregator 6 months ago flag hide 22 comments

ai_master 6 months ago next
Fascinating project! I'm impressed by how you've harnessed AI and ML to provide personalized news. It's the future!
- techguru 6 months ago next
  @AI_Master Agreed! I just tried it out, and the ML-based personalization is spot-on and very impressive.
aitechie 6 months ago prev next
Curious if you can share more about how you developed the recommendation engine? I'm interested in learning more.
- ai_master 6 months 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 6 months ago prev next
Incredible technology. I'd like to know what ML models and libraries you are using for the recommendation engine.
- ai_guru 6 months ago next
  @Innovator I'm using TensorFlow for training and serving the ML model stacks. They offer great functionality and accuracy.
opensourcelover 6 months 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 6 months 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 6 months ago prev next
Any chance you have a GitHub repository with a clear and detailed description of the project structure?
- ai_guru 6 months 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 6 months 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 6 months 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 6 months ago prev next
Worried about user privacy. Can you elaborate on the measures you take to ensure responsible data handling?
- ai_master 6 months 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 6 months ago prev next
Did you face any challenges while trying to create an intuitive UI for users with diverse backgrounds?
- ai_guru 6 months 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 6 months ago prev next
Scaling the application while maintaining accuracy must have been tough. Were there any strategies you found particularly helpful?
- ai_master 6 months 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 6 months ago prev next
The news categorization sounds really effective. What level of performance did you achieve for your categorization algorithm?
- ai_guru 6 months 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 6 months ago prev next
Interested in understanding your company's take on product-market fit and user acquisition strategies during the early stages?
- ai_master 6 months 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.

ai_master 6 months ago next
Fascinating project! I'm impressed by how you've harnessed AI and ML to provide personalized news. It's the future!
- techguru 6 months ago next
  @AI_Master Agreed! I just tried it out, and the ML-based personalization is spot-on and very impressive.
aitechie 6 months ago prev next
Curious if you can share more about how you developed the recommendation engine? I'm interested in learning more.
- ai_master 6 months 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 6 months ago prev next
Incredible technology. I'd like to know what ML models and libraries you are using for the recommendation engine.
- ai_guru 6 months ago next
  @Innovator I'm using TensorFlow for training and serving the ML model stacks. They offer great functionality and accuracy.
opensourcelover 6 months 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 6 months 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 6 months ago prev next
Any chance you have a GitHub repository with a clear and detailed description of the project structure?
- ai_guru 6 months 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 6 months 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 6 months 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 6 months ago prev next
Worried about user privacy. Can you elaborate on the measures you take to ensure responsible data handling?
- ai_master 6 months 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 6 months ago prev next
Did you face any challenges while trying to create an intuitive UI for users with diverse backgrounds?
- ai_guru 6 months 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 6 months ago prev next
Scaling the application while maintaining accuracy must have been tough. Were there any strategies you found particularly helpful?
- ai_master 6 months 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 6 months ago prev next
The news categorization sounds really effective. What level of performance did you achieve for your categorization algorithm?
- ai_guru 6 months 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 6 months ago prev next
Interested in understanding your company's take on product-market fit and user acquisition strategies during the early stages?
- ai_master 6 months 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.