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M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems.

, , , , и . CoRR, (2022)

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Zeyu Xu

Zeyu Li

Keqiang Cui

Huiling Cui

Yifang Cui

 

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M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems., , , , и . CoRR, (2022)MMSpeech: Multi-modal Multi-task Encoder-Decoder Pre-training for Speech Recognition., , , , , , и . CoRR, (2022)Second-Order Global Attention Networks for Graph Classification and Regression., , , , , , и . CICAI (2), том 13605 из Lecture Notes in Computer Science, стр. 496-507. Springer, (2022)Disentangled Item Representation for Recommender Systems., , , , и . ACM Trans. Intell. Syst. Technol., 12 (2): 20:1-20:20 (2021)DyGCN: Dynamic Graph Embedding with Graph Convolutional Network., , , , , , и . CoRR, (2021)GraphFM: Graph Factorization Machines for Feature Interaction Modeling., , , и . CoRR, (2021)A Graph-based Relevance Matching Model for Ad-hoc Retrieval., , , , и . AAAI, стр. 4688-4696. AAAI Press, (2021)CRNet: Combining CenterNet and R-CNN for Object Detection in Traffic Scenes., и . ICNC-FSKD, стр. 1-6. IEEE, (2023)Semi-Supervised Compatibility Learning Across Categories for Clothing Matching., , , , и . ICME, стр. 484-489. IEEE, (2019)DyGCN: Efficient Dynamic Graph Embedding With Graph Convolutional Network., , , , , , и . IEEE Trans. Neural Networks Learn. Syst., 35 (4): 4635-4646 (апреля 2024)