A TensorFlow Implementation of Convolutional Sequence Embedding Recommendation Model (Caser)
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding, Jiaxi Tang and Ke Wang , WSDM '18 (http://www.sfu.ca/~jiaxit/resources/wsdm18caser.pdf)
This repo is implementation of Caser. Codes are based on graytowne/caser-pytorch and I just converted them to tensorflow.
I developed it under the environments as below.
- Python 2.7x
- Tensorflow v1.11.0
- Numpy
- Scipy
- Install required packages
- run
python train_caser.py