Advanced Customer Activity Prediction Based on Deep Hierarchic Encoder-Decoders

@article{Damian2019AdvancedCA,
  title={Advanced Customer Activity Prediction Based on Deep Hierarchic Encoder-Decoders},
  author={Andrei Ionut Damian and Laurentiu Piciu and Sergiu Turlea and Nicolae Tapus},
  journal={2019 22nd International Conference on Control Systems and Computer Science (CSCS)},
  year={2019},
  pages={403-409}
}
Product recommender systems and customer profiling techniques have always been a priority in online retail. Recent machine learning research advances and also wide availability of massive parallel numerical computing has enabled various approaches and directions of recommender systems advancement. Worth to mention is the fact that in past years multiple traditional "offline" retail business are gearing more and more towards employing inferential and even predictive analytics both to stock… Expand
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