Multi-Behavior Generative Recommendation

Relational learning via collective matrix factorization. In KDD . 650–658

Ajit P Singh and Geoffrey J Gordon. 2008 · 2008

Earlier work this paper cites.

Feature hashing for large scale multitask learning. In ICML . 1113–1120

Kilian Weinberger, Anirban Dasgupta, John Langford, Alex Smola, and Josh Attenberg. 2009 · 2009

Earlier work this paper cites.

Factorizing personalized markov chains for next-basket recommendation. In WWW

Steffen Rendle, Christoph Freudenthaler, and Lars Schmidt-Thieme. 2010 · 2010

Earlier work this paper cites.

Multi-relational matrix factorization using bayesian personalized ranking for social network data. In WSDM

Artus Krohn-Grimberghe, Lucas Drumond, Christoph Freudenthaler, and Lars Schmidt-Thieme. 2012 · 2012

Earlier work this paper cites.

Session-based recommendations with recurrent neural networks. In ICLR

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

Earlier work this paper cites.

Improving user topic interest profiles by behavior factorization. In WWW . 1406–1416

Zhe Zhao, Zhiyuan Cheng, Lichan Hong, and Ed H Chi. 2015 · 2015

Earlier work this paper cites.

Deep neural networks for youtube recommendations. In RecSys . 191–198

Paul Covington, Jay Adams, and Emre Sargin. 2016 · 2016

Earlier work this paper cites.

Improved Recurrent Neural Networks for Session-based Recommendations. In Proceedings of the 1st Workshop on Deep Learning for Recommender Systems

Yong Kiam Tan, Xinxing Xu, and Yong Liu. 2016 · 2016

Earlier work this paper cites.

Attention is all you need. In NIPS

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. In 2018 IEEE international conference on data mining (ICDM)

Wang-Cheng Kang and Julian McAuley. 2018 · 2018

Earlier work this paper cites.

Personalized top-n sequential recommendation via convolutional sequence embedding. In WSDM

Jiaxi Tang and Ke Wang. 2018 · 2018

Earlier work this paper cites.

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL . 4171–4186

Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019

Earlier work this paper cites.

Neural multi-task recommendation from multi-behavior data. In ICDE

Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, and Depeng Jin. 2019 · 2019

Earlier work this paper cites.

Buying or browsing?: Predicting real-time purchasing intent using attention-based deep network with multiple behavior. In SIGKDD

Long Guo, Lifeng Hua, Rongfei Jia, Binqiang Zhao, Xiaobo Wang, and Bin Cui. 2019 · 2019

Earlier work this paper cites.

Generating diverse high-fidelity images with vq-vae-2. In NeurIPS

Ali Razavi, Aaron Van den Oord, and Oriol Vinyals. 2019 · 2019

Earlier work this paper cites.

BERT4Rec: Sequential recommendation with bidirectional encoder representations from transformer. In CIKM

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

Earlier work this paper cites.

Session-based recommendation with graph neural networks. In AAAI

Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie, and Tieniu Tan. 2019 · 2019

Earlier work this paper cites.

Feature-level deeper self-attention network for sequential recommendation.. In IJCAI

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

Earlier work this paper cites.

Efficient heterogeneous collaborative filtering without negative sampling for recommendation. In AAAI

Chong Chen, Min Zhang, Yongfeng Zhang, Weizhi Ma, Yiqun Liu, and Shaoping Ma. 2020 · 2020

Earlier work this paper cites.

An image is worth 16x16 words: Transformers for image recognition at scale

Original

Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020

Cited alongside, same era.

Deep multifaceted transformers for multi-objective ranking in large-scale e-commerce recommender systems. In CIKM

Yulong Gu, Zhuoye Ding, Shuaiqiang Wang, Lixin Zou, Yiding Liu, and Dawei Yin. 2020 · 2020

Cited alongside, same era.

Multi-behavior recommendation with graph convolutional networks. In SIGIR

Bowen Jin, Chen Gao, Xiangnan He, Depeng Jin, and Yong Li. 2020 · 2020

Cited alongside, same era.

Scaling laws for neural language models

Original

Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei. 2020 · 2020

Cited alongside, same era.

On sampled metrics for item recommendation. In SIGKDD . 1748–1757

Recbole 2.0: Towards a more up-to-date recommendation library. In CIKM . 4722–4726

Wayne Xin Zhao, Yupeng Hou, Xingyu Pan, Chen Yang, Zeyu Zhang, Zihan Lin, Jingsen Zhang, Shuqing Bian, Jiakai Tang, Wenqi Sun, et al · 2022

Later among the works it cites.

Learning vector-quantized item representation for transferable sequential recommenders. In WWW . 1162–1171

Yupeng Hou, Zhankui He, Julian McAuley, and Wayne Xin Zhao. 2023 · 2023

Later among the works it cites.

Prompt distillation for efficient llm-based recommendation. In CIKM . 1348–1357

Lei Li, Yongfeng Zhang, and Li Chen. 2023 · 2023

Later among the works it cites.

Generative sequential recommendation with gptrec

Original

Aleksandr V Petrov and Craig Macdonald. 2023 · 2023

Later among the works it cites.

Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation. In Proceedings of the 31st ACM International Conference on Multimedia

Jiajie Su, Chaochao Chen, Zibin Lin, Xi Li, Weiming Liu, and Xiaolin Zheng. 2023 · 2023