456 points by data_scientist 1 year ago flag hide 18 comments
john_doe 1 year ago 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 1 year ago 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 1 year ago prev next
Interesting. How do you handle new articles that haven't been read before?
original_poster 1 year ago 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 1 year ago prev next
Thanks for the explanation. How did you evaluate the performance of your model?
original_poster 1 year ago 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 1 year ago prev next
What kind of data preprocessing did you do on the articles before feeding them into the neural network?
original_poster 1 year ago 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 1 year ago prev next
How scalable is your solution? Could it handle a large number of users and articles?
original_poster 1 year ago 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 1 year ago prev next
Very impressive. Do you have any plans to open source your code?
original_poster 1 year ago next
Yes, I'm planning to open source the code in the near future. Stay tuned for updates!
data_enthusiast 1 year ago prev next
What was the size of your dataset? How did you collect it?
original_poster 1 year ago 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 1 year 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 1 year ago next
That's a great suggestion. I'll definitely consider using reinforcement learning to train my neural network in the future.
tensorflow_user 1 year ago prev next
Very nice implementation. How did you implement this using TensorFlow?
original_poster 1 year ago 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.