I have built an item-item recommender model using (Graph Convolutional Network (GCN) for an E-commerce website. Could you please help me with the maintenance of the model.

  1. How often should I retrain the model after deployment?( 1 month, 2 months)

  2. What are the main metrics which I should track after deployment to evaluate the model?

  3. Any suggestions related to Train/valid/test split ratios (such as 70:15:15 or 60:20:20)

  4. Any materials related to model maintenance/recommder systems evaluation post deployment would be of great help.

Thank you

  • $\begingroup$ there is no definite answer, it all depends on the usage and your problem domain $\endgroup$
    – Nikos M.
    Jan 15, 2021 at 16:56


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