Ranking of Content with Feature Weighting

I have a dataframe containing 50+ features of items (all normalized and/or encoded). These also include the ratings and sentiment polarity of comments left by users for the item. I want to score and rank these items, while giving each feature some weight based on how important it is in affecting the final score of the item on the list. The final aim is to just rank these items on the basis of good they are and not recommend the top ones.

Which ML/AI technique would be best suited for this algorithm?

Thanks!

https://stackoverflow.com/questions/65820546/ranking-of-content-with-feature-weighting January 21, 2021 at 10:55AM