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nancheng58 authored Jul 6, 2023
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### Survey
+ A Survey on Large Language Models for Recommendation, arxiv 2023, [[paper]](https://arxiv.org/abs/2305.19860).
+ How Can Recommender Systems Benefit from Large Language Models: A Survey, arxiv 2023, [[paper]](https://arxiv.org/abs/2306.05817).
+ Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights, arxiv 2023, [[paper]](https://arxiv.org/abs/2305.15036).

### Perspective
+ Where to Go Next for Recommender Systems? ID- vs.Modality-based recommender models revisited, SIGIR 2023, [[paper]](https://arxiv.org/pdf/2303.13835.pdf).[[code]](https://github.com/westlake-repl/IDvs.MoRec)
+ Exploring the Upper Limits of Text-Based Collaborative Filtering Using Large Language Models: Discoveries and Insights, arxiv 2023, [[paper]](https://arxiv.org/pdf/2305.11700.pdf).
+ Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights, arxiv 2023, [[paper]](https://arxiv.org/abs/2305.15036).

## Universal Representation Learning
**Github Repository "Universal_user_representations for recommendation" [[link]](https://github.com/fajieyuan/universal_user_representation)**.
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