Recommending a new paper relevant to the "1.1 LLM as Feature Engineering"

[Re-bin]

Hi Jianghao, 👋

Thanks for this awesome repo and also the comprehensive survey! It helps me a lot when I am conducting research about LLMs for Recommender Systems! And also, it means a lot to the research community! 😄

I kindly hope that you would consider adding our new paper titled "Representation Learning with Large Language Models for Recommendation"(https://arxiv.org/abs/2310.15950) into your awesome repo. 😊

In this paper, we purpose a model-agnostic framework (RLMRec) which utilizes the LLMs to improve the performance of SOTA recommenders through representation learning. 🚀

paper link: https://arxiv.org/abs/2310.15950
code link: https://github.com/HKUDS/RLMRec

I would appreciate it if you consider attaching this paper the code link to your awesome reposity :)

Best regards,
Xubin

[Re-bin]

Based on your toxonomy, RLMRec is ChatGPT + Frozen. 😄

[CHIANGEL]

Hi Xubin,

I have already read RLMRec as soon as I observe the announcement on Arxiv, which I believe is an insightful and awesome research work in LLM4Rec area.

The paper is already included in Section 1.6 "Pending List", and will be merged in our next version of survey, which is coming about next month.

Best,
Jianghao

[Re-bin]

Thanks Jianghao! 😊