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arXiv Machine Learning By Qingyun Liu, Bo Yan, Yang Liu, Yuji Roh, Ekansh Sharma, Likang Yin, Emma Olowo, Min-hsuan Tsai, Yuxuan Li, Diego Uribe, Saksham Aggarwal, Siqi Wu, Yuan Hao, Vikas Kedigehalli, Lukasz Heldt, Lichan Hong, Li Wei, Xinyang Yi

TokenMinds: Pretrained User Tokens and Embeddings for User Understanding in Large Recommender Systems

Read the original on arXiv Machine Learning →

arXiv:2606. 25147v1 Announce Type: cross Abstract: User modeling in industrial recommender systems typically produces dense embeddings, which suffer from representational constraints inherent to fixed-dimensional vectors.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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