Open edwardbernays opened 3 years ago
I'm using code similar to the retrieval tutorial to generate predictions.
# Pass a user id in, get top predicted movie titles back. scores, titles = loaded(["42"])
My predictions look great, but I'm trying to understand the "score" metric as It can fluctuate from user to user.
Example 1) This user has a mean "Score" around 3718.
(<tf.Tensor: shape=(1, 10), dtype=float32, numpy= array([[3718.9985, 3718.956 , 3718.5947, 3718.4873, 3718.4324, 3718.426 , 3718.382 , 3718.2532, 3718.2302, 3718.1963]], dtype=float32)>, <tf.Tensor: shape=(1, 10), dtype=string, numpy= array([[b'129521', b'129518', b'129515', b'481053', b'37048', b'37041', b'37090', b'480307', b'37113', b'143828']], dtype=object)>)
Example 2) This user has a mean "Score" around 1270.
(<tf.Tensor: shape=(1, 10), dtype=float32, numpy= array([[1271.7051, 1270.4905, 1270.4592, 1270.4503, 1270.087 , 1270.038 , 1269.7665, 1269.7266, 1269.6135, 1269.4446]], dtype=float32)>, <tf.Tensor: shape=(1, 10), dtype=string, numpy= array([[b'749276', b'689238', b'750439', b'689127', b'747382', b'636582', b'689252', b'636573', b'636337', b'748710']], dtype=object)>)
My questions are: 1) Why does the score fluctuate so much between users? 2) How is the score calculated (What is it)?
It doesn't have any particular meaning - its role is to provide a way to sort items for a particular user from most to least attractive.
I'm using code similar to the retrieval tutorial to generate predictions.
My predictions look great, but I'm trying to understand the "score" metric as It can fluctuate from user to user.
Example 1) This user has a mean "Score" around 3718.
Example 2) This user has a mean "Score" around 1270.
My questions are: 1) Why does the score fluctuate so much between users? 2) How is the score calculated (What is it)?