Hao Gu

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information

2024 · arXiv (Cornell University)

Real-world recommendation systems commonly offer diverse content scenarios for users to interact with. Considering the enormous number of users in industrial platforms, it is infeasible to utilize a single unified recommendation model to meet the …