LibRecommender
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Recommender Systems just predicts expected value
I am struggling to use the models. I have a custom dataset, that has high sparsity --> n_users: 9026, n_items: 37, data sparsity: 6.2205 %
Every model I have tried with and without additional features just learns to predict the expected value. Am I doing something wrong?
What do mean by expected value? All the prediction values are the same?
all values are very close to the global mean rating. the r2 metrics confirms that intuition by outputting a value of 0
What's the range of your label, like 1 to 5?
yes, but the ratings are all very high and the ratings are floats not integers
Really no idea, unless you show some data examples.