Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited-Reference-Cited by-同舟云学术

Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited

Published:2023-07-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
language:
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Author:

Yuan Zheng¹^ORCID,Yuan Fajie¹^ORCID,Song Yu¹^ORCID,Li Youhua¹^ORCID,Fu Junchen¹^ORCID,Yang Fei²^ORCID,Pan Yunzhu¹^ORCID,Ni Yongxin¹^ORCID

Affiliation:

1. Westlake University, Hangzhou, China

2. Zhejiang Lab, Hangzhou, China

Funder

the Research Center for Industries of the Future

the Key Research Project of Zhejiang Lab

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3539618.3591932

Reference81 articles.

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2. Tom Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared D Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell etal 2020. Language models are few-shot learners. Advances in neural information processing systems Vol. 33 (2020) 1877--1901. Tom Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared D Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell et al. 2020. Language models are few-shot learners. Advances in neural information processing systems Vol. 33 (2020) 1877--1901.

3. Fully content-based movie recommender system with feature extraction using neural network

4. AutoDebias: Learning to Debias for Recommendation

5. Mark Chen , Alec Radford , Rewon Child , Jeffrey Wu , Heewoo Jun , David Luan , and Ilya Sutskever . 2020 . Generative pretraining from pixels . In International conference on machine learning. PMLR, 1691--1703 . Mark Chen, Alec Radford, Rewon Child, Jeffrey Wu, Heewoo Jun, David Luan, and Ilya Sutskever. 2020. Generative pretraining from pixels. In International conference on machine learning. PMLR, 1691--1703.

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