Web: http://arxiv.org/abs/2203.13366

Sept. 15, 2022, 1:11 a.m. | Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang

cs.LG updates on arXiv.org arxiv.org

For a long time, different recommendation tasks typically require designing
task-specific architectures and training objectives. As a result, it is hard to
transfer the learned knowledge and representations from one task to another,
thus restricting the generalization ability of existing recommendation
approaches, e.g., a sequential recommendation model can hardly be applied or
transferred to a review generation method. To deal with such issues,
considering that language can describe almost anything and language grounding
is a powerful medium to represent various …

arxiv language language processing paradigm personalized processing recommendation

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