KO | EN

GitLite

Minimalist Open Source Repository Search Engine

gitlite — search

#dsh #dsh-plugin #developer-tools #ai-agent #claude-code #codex #typescript #ai-agents #deepseek-harness #mcp #cli #rust

ANR

★ 70 Open GitHub ↗

Code for our CIKM 2018 paper titled "ANR: Aspect-based Neural Recommender"

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# Code for CIKM 2018 paper

Hello!

Here's our implementation of the code used for "__ANR: Aspect-based Neural Recommender__" in CIKM 2018.

The paper is available here: [Paper](https://dl.acm.org/citation.cfm?id=3271810)

For a quick overview of the paper, you can refer to these slides:
[ANR Slides](https://drive.google.com/open?id=1lLrOhHO8K9V-euVg0Ur2xtsKYhRPNyfb)

For instructions on how to use the code, please refer to [\_\_\_README\_\_\_.txt](____README____.txt)!

## Environment Setup

1. Python 3.6.3
2. PyTorch 0.3.0

## Reference

Please consider citing our work if you find it useful, thank you!

```
@inproceedings{Chin:2018:AAN:3269206.3271810,
 author = {Chin, Jin Yao and Zhao, Kaiqi and Joty, Shafiq and Cong, Gao},
 title = {ANR: Aspect-based Neural Recommender},
 booktitle = {Proceedings of the 27th ACM International Conference on Information and Knowledge Management},
 series = {CIKM '18},
 year = {2018},
 isbn = {978-1-4503-6014-2},
 location = {Torino, Italy},
 pages = {147--156},
 numpages = {10},
 url = {http://doi.acm.org/10.1145/3269206.3271810},
 doi = {10.1145/3269206.3271810},
 acmid = {3271810},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {aspect-based recommendation, co-attention, neural attention, recommender systems},
}
```

ANR

Explore Similar Repositories

Was this content helpful?

Recent Feedback

Download README