With LightFM, recommending documents to users based on keywords in the absence of interactions
I have a basic question about the use of LightFM, apologies if this isn’t the right forum.
UserWarning: LightFM was compiled without OpenMP support
Please help! I’m trying to make a movie recommendation system.
Adding user and item features to LightFM Model
I am training a LightFM model for a recommender system, I create my interactions dataset successfully then try to add user and item features but face a consistent error stating the following (ValueError: Feature False not in feature mapping. Call fit first.). I have read the documentation and made sure the items and users datasets are as required, and I use fit before creating them. Here is my code: