DeepRec
推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction
Access a collection of important papers and resources on recommendation systems and advertising.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytime推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction
DeepRec has 1k stars on GitHub. It has been forked 217 times. It has been in active development since 2019. DeepRec is available under the MIT license. Its main topics are computational-advertising, deep-learning, exploration-exploitation, recommendation.
What is DeepRec?
推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction
Is DeepRec open source?
DeepRec is an open-source project. It is released under the MIT license.
Is DeepRec free?
Yes. DeepRec is free and open source — you can use, modify and self-host it.
What license does DeepRec use?
DeepRec is available under the MIT license.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/imsheridan-deeprec.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.