Bo Chen

According to our database, Bo Chen authored at least 73 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Large language models make sample-efficient recommender systems.

Jianghao Lin, Xinyi Dai, Rong Shan, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang

Frontiers Comput. Sci., April, 2025

Towards efficient and effective unlearning of large language models for recommendation.

Hangyu Wang, Jianghao Lin, Bo Chen, Yang Yang, Ruiming Tang, Weinan Zhang, Yong Yu

Frontiers Comput. Sci., March, 2025

Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation.

Rong Shan, Jiachen Zhu, Jianghao Lin, Chenxu Zhu, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang

CoRR, January, 2025

2024

A Comprehensive Survey on Automated Machine Learning for Recommendations.

Bo Chen, Xiangyu Zhao, Yejing Wang, Wenqi Fan, Huifeng Guo, Ruiming Tang

Trans. Recomm. Syst., June, 2024

A Survey on Bid Optimization in Real-Time Bidding Display Advertising.

Weitong Ou, Bo Chen, Xinyi Dai, Weinan Zhang, Weiwen Liu, Ruiming Tang, Yong Yu

ACM Trans. Knowl. Discov. Data, April, 2024

AutoAssign+: Automatic Shared Embedding Assignment in streaming recommendation.

Ziru Liu, Kecheng Chen, Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang

Knowl. Inf. Syst., January, 2024

An Automatic Graph Construction Framework based on Large Language Models for Recommendation.

Rong Shan, Jianghao Lin, Chenxu Zhu, Bo Chen, Menghui Zhu, Kangning Zhang, Jieming Zhu, Ruiming Tang, Yong Yu, Weinan Zhang

CoRR, 2024

LIBER: Lifelong User Behavior Modeling Based on Large Language Models.

Chenxu Zhu, Shigang Quan, Bo Chen, Jianghao Lin, Xiaoling Cai, Hong Zhu, Xiangyang Li, Yunjia Xi, Weinan Zhang, Ruiming Tang

CoRR, 2024

Beyond Positive History: Re-ranking with List-level Hybrid Feedback.

Muyan Weng, Yunjia Xi, Weiwen Liu, Bo Chen, Jianghao Lin, Ruiming Tang, Weinan Zhang, Yong Yu

CoRR, 2024

Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models.

Yunjia Xi, Weiwen Liu, Jianghao Lin, Muyan Weng, Xiaoling Cai, Hong Zhu, Jieming Zhu, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang

CoRR, 2024

A Decoding Acceleration Framework for Industrial Deployable LLM-based Recommender Systems.

Yunjia Xi, Hangyu Wang, Bo Chen, Jianghao Lin, Menghui Zhu, Weiwen Liu, Ruiming Tang, Weinan Zhang, Yong Yu

CoRR, 2024

Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation.

Jiachen Zhu, Jianghao Lin, Xinyi Dai, Bo Chen, Rong Shan, Jieming Zhu, Ruiming Tang, Yong Yu, Weinan Zhang

CoRR, 2024

All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era.

Bo Chen, Xinyi Dai, Huifeng Guo, Wei Guo, Weiwen Liu, Yong Liu, Jiarui Qin, Ruiming Tang, Yichao Wang, Chuhan Wu, Yaxiong Wu, Hao Zhang

CoRR, 2024

ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation.

Jizheng Chen, Kounianhua Du, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang

CoRR, 2024

LLM-enhanced Reranking in Recommender Systems.

Jingtong Gao, Bo Chen, Xiangyu Zhao, Weiwen Liu, Xiangyang Li, Yichao Wang, Zijian Zhang, Wanyu Wang, Yuyang Ye, Shanru Lin, Huifeng Guo, Ruiming Tang

CoRR, 2024

Extracting Essential and Disentangled Knowledge for Recommendation Enhancement.

Kounianhua Du, Jizheng Chen, Jianghao Lin, Menghui Zhu, Bo Chen, Shuai Li, Ruiming Tang

CoRR, 2024

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems.

Pengyue Jia, Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Yichao Wang, Bo Chen, Wanyu Wang, Huifeng Guo, Ruiming Tang

CoRR, 2024

ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation.

Jianghao Lin, Rong Shan, Chenxu Zhu, Kounianhua Du, Bo Chen, Shigang Quan, Ruiming Tang, Yong Yu, Weinan Zhang

Proceedings of the ACM on Web Conference 2024, 2024

ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction.

Jianghao Lin, Bo Chen, Hangyu Wang, Yunjia Xi, Yanru Qu, Xinyi Dai, Kangning Zhang, Ruiming Tang, Yong Yu, Weinan Zhang

Proceedings of the ACM on Web Conference 2024, 2024

Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation.

Yuhao Wang, Ziru Liu, Yichao Wang, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising.

Yang Yang, Bo Chen, Chenxu Zhu, Menghui Zhu, Xinyi Dai, Huifeng Guo, Muyu Zhang, Zhenhua Dong, Ruiming Tang

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models.

Yunjia Xi, Weiwen Liu, Jianghao Lin, Xiaoling Cai, Hong Zhu, Jieming Zhu, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction.

Hangyu Wang, Jianghao Lin, Xiangyang Li, Bo Chen, Chenxu Zhu, Ruiming Tang, Weinan Zhang, Yong Yu

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems.

Pengyue Jia, Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Yichao Wang, Bo Chen, Wanyu Wang, Huifeng Guo, Ruiming Tang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation.

Kounianhua Du, Jizheng Chen, Jianghao Lin, Yunjia Xi, Hangyu Wang, Xinyi Dai, Bo Chen, Ruiming Tang, Weinan Zhang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models.

Yunjia Xi, Weiwen Liu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Retrieval-Oriented Knowledge for Click-Through Rate Prediction.

Huanshuo Liu, Bo Chen, Menghui Zhu, Jianghao Lin, Jiarui Qin, Hao Zhang, Yang Yang, Ruiming Tang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

HierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations.

Jingtong Gao, Bo Chen, Menghui Zhu, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Yichao Wang, Huifeng Guo, Ruiming Tang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation.

Jizheng Chen, Kounianhua Du, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models.

Yunjia Xi, Weiwen Liu, Jianghao Lin, Chuhan Wu, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu

Proceedings of the Information Retrieval - 30th China Conference, 2024

2023

AIM: Automatic Interaction Machine for Click-Through Rate Prediction.

Chenxu Zhu, Bo Chen, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu

IEEE Trans. Knowl. Data Eng., April, 2023

ALT: Towards Fine-grained Alignment between Language and CTR Models for Click-Through Rate Prediction.

Hangyu Wang, Jianghao Lin, Xiangyang Li, Bo Chen, Chenxu Zhu, Ruiming Tang, Weinan Zhang, Yong Yu

CoRR, 2023

Scenario-Aware Hierarchical Dynamic Network for Multi-Scenario Recommendation.

Jingtong Gao, Bo Chen, Menghui Zhu, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Yichao Wang, Huifeng Guo, Ruiming Tang

CoRR, 2023

Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models.

Yunjia Xi, Weiwen Liu, Jianghao Lin, Jieming Zhu, Bo Chen, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu

CoRR, 2023

How Can Recommender Systems Benefit from Large Language Models: A Survey.

Jianghao Lin, Xinyi Dai, Yunjia Xi, Weiwen Liu, Bo Chen, Xiangyang Li, Chenxu Zhu, Huifeng Guo, Yong Yu, Ruiming Tang, Weinan Zhang

CoRR, 2023

CTRL: Connect Tabular and Language Model for CTR Prediction.

Xiangyang Li, Bo Chen, Lu Hou, Ruiming Tang

CoRR, 2023

Multi-Task Deep Recommender Systems: A Survey.

Yuhao Wang, Ha Tsz Lam, Yi Wong, Ziru Liu, Xiangyu Zhao, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang

CoRR, 2023

Compressed Interaction Graph based Framework for Multi-behavior Recommendation.

Wei Guo, Chang Meng, Enming Yuan, Zhicheng He, Huifeng Guo, Yingxue Zhang, Bo Chen, Yaochen Hu, Ruiming Tang, Xiu Li, Rui Zhang

Proceedings of the ACM Web Conference 2023, 2023

AutoGen: An Automated Dynamic Model Generation Framework for Recommender System.

Chenxu Zhu, Bo Chen, Huifeng Guo, Hang Xu, Xiangyang Li, Xiangyu Zhao, Weinan Zhang, Yong Yu, Ruiming Tang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

AutoML for Deep Recommender Systems: Fundamentals and Advances.

Ruiming Tang, Bo Chen, Yejing Wang, Huifeng Guo, Yong Liu, Wenqi Fan, Xiangyu Zhao

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations.

Yuhao Wang, Xiangyu Zhao, Bo Chen, Qidong Liu, Huifeng Guo, Huanshuo Liu, Yichao Wang, Rui Zhang, Ruiming Tang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Single-shot Feature Selection for Multi-task Recommendations.

Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang, Zhenhua Dong

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

AutoTransfer: Instance Transfer for Cross-Domain Recommendations.

Jingtong Gao, Xiangyu Zhao, Bo Chen, Fan Yan, Huifeng Guo, Ruiming Tang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

AutoOpt: Automatic Hyperparameter Scheduling and Optimization for Deep Click-through Rate Prediction.

Yujun Li, Xing Tang, Bo Chen, Yimin Huang, Ruiming Tang, Zhenguo Li

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Deep Landscape Forecasting in Multi-Slot Real-Time Bidding.

Weitong Ou, Bo Chen, Yingxuan Yang, Xinyi Dai, Weiwen Liu, Weinan Zhang, Ruiming Tang, Yong Yu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Optimal Real-Time Bidding Strategy for Position Auctions in Online Advertising.

Weitong Ou, Bo Chen, Weiwen Liu, Xinyi Dai, Weinan Zhang, Wei Xia, Xuan Li, Ruiming Tang, Yong Yu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

HAMUR: Hyper Adapter for Multi-Domain Recommendation.

Xiaopeng Li, Fan Yan, Xiangyu Zhao, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

DFFM: Domain Facilitated Feature Modeling for CTR Prediction.

Wei Guo, Chenxu Zhu, Fan Yan, Bo Chen, Weiwen Liu, Huifeng Guo, Hongkun Zheng, Yong Liu, Ruiming Tang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Task Aligned Meta-learning based Augmented Graph for Cold-Start Recommendation.

Yuxiang Shi, Yue Ding, Bo Chen, Yuyang Huang, Ruiming Tang, Dong Wang

CoRR, 2022

Automated Machine Learning for Deep Recommender Systems: A Survey.

Bo Chen, Xiangyu Zhao, Yejing Wang, Wenqi Fan, Huifeng Guo, Ruiming Tang

CoRR, 2022

Accepted Tutorials at The Web Conference 2022.

Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

RankFlow: Joint Optimization of Multi-Stage Cascade Ranking Systems as Flows.

Jiarui Qin, Jiachen Zhu, Bo Chen, Zhirong Liu, Weiwen Liu, Ruiming Tang, Rui Zhang, Yong Yu, Weinan Zhang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Neural Re-ranking for Multi-stage Recommender Systems.

Weiwen Liu, Jiarui Qin, Ruiming Tang, Bo Chen

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

CausalInt: Causal Inspired Intervention for Multi-Scenario Recommendation.

Yichao Wang, Huifeng Guo, Bo Chen, Weiwen Liu, Zhirong Liu, Qi Zhang, Zhicheng He, Hongkun Zheng, Weiwei Yao, Muyu Zhang, Zhenhua Dong, Ruiming Tang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Neural Re-ranking in Multi-stage Recommender Systems: A Review.

Weiwen Liu, Yunjia Xi, Jiarui Qin, Fei Sun, Bo Chen, Weinan Zhang, Rui Zhang, Ruiming Tang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

AutoAssign: Automatic Shared Embedding Assignment in Streaming Recommendation.

Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang

Proceedings of the IEEE International Conference on Data Mining, 2022

MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction.

Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks.

Hengyu Zhang, Enming Yuan, Wei Guo, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Xiu Li, Ruiming Tang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

IntTower: The Next Generation of Two-Tower Model for Pre-Ranking System.

Xiangyang Li, Bo Chen, Huifeng Guo, Jingjie Li, Chenxu Zhu, Xiang Long, Sujian Li, Yichao Wang, Wei Guo, Longxia Mao, Jinxing Liu, Zhenhua Dong, Ruiming Tang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Numerical Feature Representation with Hybrid <i>N</i>-ary Encoding.

Bo Chen, Huifeng Guo, Weiwen Liu, Yue Ding, Yunzhe Li, Wei Guo, Yichao Wang, Zhicheng He, Ruiming Tang, Rui Zhang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

AIRec: Attentive intersection model for tag-aware recommendation.

Bo Chen, Yue Ding, Xin Xin, Yunzhe Li, Yule Wang, Dong Wang

Neurocomputing, 2021

ModularNAS: Towards Modularized and Reusable Neural Architecture Search.

Yunfeng Lin, Guilin Li, Xing Zhang, Weinan Zhang, Bo Chen, Ruiming Tang, Zhenguo Li, Jiashi Feng, Yong Yu

Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

An Embedding Learning Framework for Numerical Features in CTR Prediction.

Huifeng Guo, Bo Chen, Ruiming Tang, Weinan Zhang, Zhenguo Li, Xiuqiang He

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Extracting Attentive Social Temporal Excitation for Sequential Recommendation.

Yunzhe Li, Yue Ding, Bo Chen, Xin Xin, Yule Wang, Yuxiang Shi, Ruiming Tang, Dong Wang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Semi-deterministic and Contrastive Variational Graph Autoencoder for Recommendation.

Yue Ding, Yuxiang Shi, Bo Chen, Chenghua Lin, Hongtao Lu, Jie Li, Ruiming Tang, Dong Wang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Enhancing Explicit and Implicit Feature Interactions via Information Sharing for Parallel Deep CTR Models.

Bo Chen, Yichao Wang, Zhirong Liu, Ruiming Tang, Wei Guo, Hongkun Zheng, Weiwei Yao, Muyu Zhang, Xiuqiang He

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

AutoDis: Automatic Discretization for Embedding Numerical Features in CTR Prediction.

Huifeng Guo, Bo Chen, Ruiming Tang, Zhenguo Li, Xiuqiang He

CoRR, 2020

TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation.

Bo Chen, Wei Guo, Ruiming Tang, Xin Xin, Yue Ding, Xiuqiang He, Dong Wang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

AIRec: Attentive Intersection Model for Tag-Aware Recommendation.

Bo Chen, Dong Wang, Yue Ding, Xin Xin

Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, 2019

CFM: Convolutional Factorization Machines for Context-Aware Recommendation.

Xin Xin, Bo Chen, Xiangnan He, Dong Wang, Yue Ding, Joemon M. Jose

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

SGRS: A sequential gesture recognition system using COTS RFID.

Bo Chen, Qian Zhang, Run Zhao, Dong Li, Dong Wang

Proceedings of the 2018 IEEE Wireless Communications and Networking Conference, 2018

RFree-ID: An Unobtrusive Human Identification System Irrespective of Walking Cofactors Using COTS RFID.

Qian Zhang, Dong Li, Run Zhao, Dong Wang, Yufeng Deng, Bo Chen

Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications, 2018

ReaderTrack: Reader-Book Interaction Reasoning Using RFID and Smartwatch.

Yufeng Deng, Dong Wang, Qian Zhang, Run Zhao, Bo Chen

Proceedings of the 27th International Conference on Computer Communication and Networks, 2018