# DeepCoNN

**Repository Path**: Durant7777/DeepCoNN

## Basic Information

- **Project Name**: DeepCoNN
- **Description**: This is our implementation of DeepCoNN
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-01-20
- **Last Updated**: 2021-03-08

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# DeepCoNN

This is our implementation for the paper:


*Lei Zheng, Vahid Noroozi, and Philip S Yu. 2017. Joint deep modeling of users and items using reviews for recommendation.
In WSDM. ACM, 425-434.*


Two models:

1、DeepCoNN: This is the state-of-the-art method that uti-lizes deep learning technology to jointly model user and itemfrom textual reviews.

2、DeepCoNN++: We extend DeepCoNN by changing its share layer from FM to our neural prediction layer.


The two methods are used as the baselines of our method **NARRE** in the paper:


*Chong Chen, Min Zhang, Yiqun Liu, and Shaoping Ma. 2018. [Neural Attentional Rating Regression with Review-level Explanations.](http://www.thuir.cn/group/~YQLiu/publications/WWW2018_CC.pdf) 
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 (cstchenc@163.com)

## 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: Jan 3, 2018