RecSysPapers
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
Explore a collection of important and recent papers about recommendation systems, advertising, and search technologies.
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Free · no card · unsubscribe anytime推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
RecSysPapers has 2.2k stars on GitHub. It has been forked 265 times. RecSysPapers is written mainly in Python. It has been in active development since 2022. RecSysPapers is available under the BSD-2-Clause license. Its main topics are calibration, causal-inference, cold-start, contrastive-learning.
What is RecSysPapers?
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
Is RecSysPapers open source?
RecSysPapers is an open-source project. It is released under the BSD-2-Clause license.
Is RecSysPapers free?
Yes. RecSysPapers is free and open source — you can use, modify and self-host it.
What license does RecSysPapers use?
RecSysPapers is available under the BSD-2-Clause license.
What language is RecSysPapers written in?
RecSysPapers is written mainly in Python.
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