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NVIDIA Deep Learning Examples
SIM for TensorFlow2
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NVIDIA Deep Learning Examples
NVIDIA Deep Learning Examples
SIM for TensorFlow2

Search-based Interest Model (SIM) is a system for predicting user behavior given sequences of previous interactions.

Changelog

May 2022

  • Initial release

November 2022

  • Moved batching and padding operations to preprocessing
  • Added support for prebatched samples during dataloading
  • Reduced throughput variance (previously appearing mainly during inference)

Known issues

  • The SIM model results are non-deterministic, even using the same random seed. The reason for this non-determinism is the tf.math.unsorted_segment_sum operation called within an optimization step. Its influence depends on categorical data distribution within a batch, and this issue is more severe for momentum-based optimizers. A potential solution is to use a deterministic version of this op which allows perfect reproduction, but is up to six times slower training.