> For the complete documentation index, see [llms.txt](https://paper.lingyunyang.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://paper.lingyunyang.com/paper-list/artificial-intelligence/dlrm.md).

# Deep Learning Recommendation Model (DLRM)

* Efficient Long Sequential User Data Modeling for Click-Through Rate Prediction (DLP-KDD 2022) \[[Paper](https://arxiv.org/abs/2209.12212)]
  * Alibaba
  * ETA: *Efficient target attention* network
  * Locality-sensitive hashing
  * Deployed on Taobao*.*
* Wide & Deep Learning for Recommender Systems (DLRS 2016) \[[Personal Notes](/reading-notes/miscellaneous/arxiv/2016/wide-and-deep-learning-for-recommender-systems.md)] \[[Paper](https://dl.acm.org/doi/10.1145/2988450.2988454)]
  * Google
  * WDL: Wide & Deep model