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All Projects → chenchongthu → NARRE

chenchongthu / NARRE

Licence: other
This is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations

Programming Languages

python
139335 projects - #7 most used programming language

Labels

deep-learningrecommender-systemrecommendationattention-mechanismreview-usefulness

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NARRE

This is our implementation for the paper:

Chong Chen, Min Zhang, Yiqun Liu, and Shaoping Ma. 2018. Neural Attentional Rating Regression with Review-level Explanations. In WWW'18.

Please cite our WWW'18 paper if you use our codes. Thanks!

@inproceedings{chen2018neural,
  title={Neural Attentional Rating Regression with Review-level Explanations},
  author={Chen, Chong and Zhang, Min and Liu, Yiqun and Ma, Shaoping},
  booktitle={Proceedings of the 2018 World Wide Web Conference on World Wide Web},
  pages={1583--1592},
  year={2018},
}

Author: Chong Chen ([email protected])

Environments

  • python 2.7
  • Tensorflow (version: 0.12.1)
  • numpy
  • pandas

Dataset

In our experiments, we use the datasets from Amazon 5-core(http://jmcauley.ucsd.edu/data/amazon) and Yelp Challenge 2017(https://www.yelp.com/dataset_challenge).

Example to run the codes

Data preprocessing:

python loaddata.py	
python data_pro.py

Train and evaluate the model:

python train.py

Last Update Date: April 14, 2018

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