Collaborative Word-based Pre-trained Item Representation for Transferable Recommendation-Reference-Cited by-同舟云学术

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Collaborative Word-based Pre-trained Item Representation for Transferable Recommendation

Published:2023-12-01 Issue: Volume:30 Page:728-737
ISSN:
Container-title:2023 IEEE International Conference on Data Mining (ICDM)
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Author:

Yang Shenghao¹,Wang Chenyang¹,Liu Yankai²,Xu Kangping¹,Ma Weizhi³,Liu Yiqun¹,Zhang Min¹,Zeng Haitao²,Feng Junlan⁴,Deng Chao⁴

Affiliation:

1. Tsinghua University,Department of Computer Science and Technology

2. THU-CMCC Joint Institute

3. Tsinghua University,AIR

4. China Mobile Research Institute

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10415628/10415561/10415831.pdf?arnumber=10415831

Reference41 articles.

1. Session-based recommendations with recurrent neural networks;Hidasi;arXiv preprint arXiv:1511.06939,2015

2. Sequential Recommender Systems: Challenges, Progress and Prospects

3. Self-Attentive Sequential Recommendation

4. Bert: Pre-training of deep bidirectional transformers for language understanding;Devlin;arXiv preprint arXiv:1810.04805,2018

5. Zero-shot recommender systems;Ding;arXiv preprint arXiv:2105.08318,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-Modality is All You Need for Transferable Recommender Systems;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

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