Implements a barebones reference implementation of the LRML model used in our WWW'18 experiments.
Note: Due to high volume of requests, I am releasing this source code, (heavily cleaned to remove other irrelevant WIP models) about 1+ years after I done the experiments. Please check the detailed comments in the model file.
If you find our model useful, please consider citing our work.
@inproceedings{DBLP:conf/www/TayTH18,
author = {Yi Tay and
Luu Anh Tuan and
Siu Cheung Hui},
title = {Latent Relational Metric Learning via Memory-based Attention for Collaborative
Ranking},
booktitle = {Proceedings of the 2018 World Wide Web Conference on World Wide Web,
{WWW} 2018, Lyon, France, April 23-27, 2018},
pages = {729--739},
year = {2018},
crossref = {DBLP:conf/www/2018},
url = {http://doi.acm.org/10.1145/3178876.3186154},
doi = {10.1145/3178876.3186154},
timestamp = {Mon, 16 Apr 2018 08:43:10 +0200},
biburl = {https://dblp.org/rec/bib/conf/www/TayTH18},
bibsource = {dblp computer science bibliography, https://dblp.org}
}