Inductive Modeling for Realtime Cold Start Recommendations

Author:

Zuo Chandler1ORCID,Castaldo Jonathan1ORCID,Zhu Hanqing1ORCID,Zhang Haoyu1ORCID,Liu Ji1ORCID,Ou Yangpeng1ORCID,Kong Xiao1ORCID

Affiliation:

1. Meta, Menlo Park, CA, USA

Publisher

ACM

Reference43 articles.

1. Jianxin Chang, Chenbin Zhang, Zhiyi Fu, Xiaoxue Zang, Lin Guan, Jing Lu, Yiqun Hui, Dewei Leng, Yanan Niu, Yang Song, et al. 2023. TWIN: TWo-stage Interest Network for Lifelong User Behavior Modeling in CTR Prediction at Kuaishou. arXiv preprint arXiv:2302.02352 (2023).

2. Deep Neural Networks for YouTube Recommendations

3. Unicorn

4. Damai Dai, Yutao Sun, Li Dong, Yaru Hao, Shuming Ma, Zhifang Sui, and Furu Wei. 2023. Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers. In ICLR 2023 Workshop on Mathematical and Empirical Understanding of Foundation Models.

5. A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models

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