POSO: Personalized Cold Start Modules for Large-scale Recommender Systems

no code implementations • 10 Aug 2021 • Shangfeng Dai, Haobin Lin, Zhichen Zhao, Jianying Lin, Honghuan Wu, Zhe Wang, Sen yang, Ji Liu

Moreover, POSO can be further generalized to regular users, inactive users and returning users (+2%-3% on Watch Time), as well as item cold start (+3. 8% on Watch Time).

Recommendation Systems