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How would a system use model trained with TimeSVD to predict the rating of a user at given moment(for example request comes and list of items needs to be reccomended) when always the parameters with the current day will be unknown ? The items, users and factors will not have learned parameters associated for the current(present) day and as i saw in the code for the predict, zero will be used for those values. So what is the benefit of using the algorithm when the temporal features will have zero value ?
The text was updated successfully, but these errors were encountered:
How would a system use model trained with TimeSVD to predict the rating of a user at given moment(for example request comes and list of items needs to be reccomended) when always the parameters with the current day will be unknown ? The items, users and factors will not have learned parameters associated for the current(present) day and as i saw in the code for the predict, zero will be used for those values. So what is the benefit of using the algorithm when the temporal features will have zero value ?
The text was updated successfully, but these errors were encountered: