Enhancing High-order Interaction Awareness in LLM-based Recommender Model

S3-rec: Self-supervised learning for sequential recommendation with mutual information maximization

Kun Zhou, Hui Wang, Wayne Xin Zhao, Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, and Ji-Rong Wen. 2020 · 1902

Earlier work this paper cites.

Sign: Scalable inception graph neural networks

Original

Fabrizio Frasca, Emanuele Rossi, Davide Eynard, Ben Chamberlain, Michael Bronstein, and Federico Monti. 2020 · 2004

Earlier work this paper cites.

Visualizing data using t-sne

Laurens Van der Maaten and Geoffrey Hinton. 2008 · 2008

Earlier work this paper cites.

Linear algebra done right

Sheldon Axler. 2015 · 2015

Earlier work this paper cites.

Session-based recommendations with recurrent neural networks

Original

Balázs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, and Domonkos Tikk. 2015 · 2015

Earlier work this paper cites.

Neural machine translation of rare words with subword units

Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016

Earlier work this paper cites.

Decoupled weight decay regularization

Original

Ilya Loshchilov and Frank Hutter. 2017 · 2017

Earlier work this paper cites.

Attention is all you need

Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017

Earlier work this paper cites.

Self-attentive sequential recommendation

Wang-Cheng Kang and Julian McAuley. 2018 · 2018

Earlier work this paper cites.

Sentencepiece: A simple and language independent subword tokenizer and detokenizer for neural text processing. arxiv 2018

Original

Taku Kudo and John Richardson. 2018 · 2018

Earlier work this paper cites.

Personalized top-n sequential recommendation via convolutional sequence embedding

Jiaxi Tang and Ke Wang. 2018 · 2018

Earlier work this paper cites.

Hierarchical gating networks for sequential recommendation

Chen Ma, Peng Kang, and Xue Liu. 2019 · 2019

Earlier work this paper cites.

Bert4rec: Sequential recommendation with bidirectional encoder representations from transformer

Fei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, and Peng Jiang. 2019 · 2019

Earlier work this paper cites.

Feature-level deeper self-attention network for sequential recommendation

Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S Sheng, Jiajie Xu, Deqing Wang, Guanfeng Liu, Xiaofang Zhou, et al. 2019 · 2019

Earlier work this paper cites.

Lightgcn: Simplifying and powering graph convolution network for recommendation

Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, Yongdong Zhang, and Meng Wang. 2020 · 2020

Earlier work this paper cites.

Exploring the limits of transfer learning with a unified text-to-text transformer

Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu. 2020 · 2020

Earlier work this paper cites.

A simple and effective positional encoding for transformers

Pu-Chin Chen, Henry Tsai, Srinadh Bhojanapalli, Hyung Won Chung, Yin-Wen Chang, and Chun-Sung Ferng. 2021 · 2021

Earlier work this paper cites.

Simplex: A simple and strong baseline for collaborative filtering

Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, and Xiuqiang He. 2021 · 2021

Earlier work this paper cites.

Recommendation as language processing (rlp): A unified pretrain, personalized prompt & predict paradigm (p5)

Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, and Yongfeng Zhang. 2022 · 2022

Cited alongside, same era.

Miner: multi-interest matching network for news recommendation

Jian Li, Jieming Zhu, Qiwei Bi, Guohao Cai, Lifeng Shang, Zhenhua Dong, Xin Jiang, and Qun Liu. 2022 · 2022

Cited alongside, same era.

Improving graph collaborative filtering with neighborhood-enriched contrastive learning

Zihan Lin, Changxin Tian, Yupeng Hou, and Wayne Xin Zhao. 2022 · 2022

Cited alongside, same era.

Introduction to linear algebra

Gilbert Strang. 2022 · 2022

Cited alongside, same era.

Towards representation alignment and uniformity in collaborative filtering

Chenyang Wang, Yuanqing Yu, Weizhi Ma, Min Zhang, Chong Chen, Yiqun Liu, and Shaoping Ma. 2022 · 2022

Cited alongside, same era.

Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing

Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, and Graham Neubig. 2023 · 2023

Later among the works it cites.

Representation learning with large language models for recommendation

Original

Xubin Ren, Wei Wei, Lianghao Xia, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, and Chao Huang. 2023 · 2023

Later among the works it cites.

Large language models are competitive near cold-start recommenders for language-and item-based preferences

Scott Sanner, Krisztian Balog, Filip Radlinski, Ben Wedin, and Lucas Dixon. 2023 · 2023

Later among the works it cites.

Datafinder: Scientific dataset recommendation from natural language descriptions

Vijay Viswanathan, Luyu Gao, Tongshuang Wu, Pengfei Liu, and Graham Neubig. 2023 · 2023

Later among the works it cites.

Eedn: Enhanced encoder-decoder network with local and global context learning for poi recommendation

Xinfeng Wang, Fumiyo Fukumoto, Jin Cui, Yoshimi Suzuki, Jiyi Li, and Dongjin Yu. 2023 · 2023