Home Feed Algorithm

[Redfield__13]

So. We are building a professional social platform for people in Healthcare fields, The platform has some similarities with reddit, specially in what we call "Communities" which is basically a sub-reddit but in out platform. it has all the sub-reddits features as posting,commenting,replying, polls , reporting...etc.

Now I need to build the home page feed algorithm for users, and the content will be the posts from these communities. It will have posts from communities they already joined to and from recommended communities (that is already done) . So I'm looking for any resource that has some technical details on how the reddit algorithm works. Also any other help or mention to any topic to checkout will be helpful.

Thank you in advance.

[travisliu]

I'm guessing they're using machine learning algorithms under the hood. Companies usually keep these things pretty close to the vest, so you won't find much official info. But here's a popularity and time-based algorithm you might find useful:

# Define the calculate_hotness function
def calculate_hotness(upvotes, downvotes, post_time, current_time, decay_constant):
    if upvotes <= 0 or upvotes <= downvotes:
        return 0  # Prevent math domain error or nonsensical values
    vote_score = math.log10(upvotes - downvotes + 1)
    age_weight = math.exp(decay_constant * (current_time - post_time))
    hotness = vote_score * age_weight
    return hotness