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Recommender Systems just predicts expected value

Open AlexVaith opened this issue 3 years ago • 5 comments

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?

AlexVaith avatar May 28 '21 10:05 AlexVaith

What do mean by expected value? All the prediction values are the same?

massquantity avatar May 28 '21 13:05 massquantity

all values are very close to the global mean rating. the r2 metrics confirms that intuition by outputting a value of 0

AlexVaith avatar May 28 '21 13:05 AlexVaith

What's the range of your label, like 1 to 5?

massquantity avatar May 28 '21 14:05 massquantity

yes, but the ratings are all very high and the ratings are floats not integers

AlexVaith avatar May 28 '21 15:05 AlexVaith

Really no idea, unless you show some data examples.

massquantity avatar May 28 '21 15:05 massquantity