For podcast fans and listeners, I’ve created a simple podcast recommendation algorithm based on user inputs and preferences.
This is based on the market basket analysis in data mining and was constructed using python.
I used an Apriori algorithm with association rules to figure out the confidence, lift, and support variables.
Based on these variables, recommendations can be made to determine which podcasts you would enjoy.
Best part is – this can be done with very few lines of code.
You can check the code out here – https://www.kaggle.com/datasr/podcast-mining