Skip to content

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

License

Notifications You must be signed in to change notification settings

almightyGOSU/ANR

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

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

For a quick overview of the paper, you can refer to these slides: ANR Slides

For instructions on how to use the code, please refer to ___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},
}

Releases

No releases published

Packages

No packages published