Guo, Huifeng

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

Lin, J., Dai, X., Xi, Y., Liu, W., Chen, B., Zhang, H., Liu, Y., Wu, C., Li, X., Zhu, C., et al. (2025) · ACM Transactions on Information Systems

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 242

A Survey of Personalization: From RAG to Agent

Li, X., Jia, P., Xu, D., Wen, Y., Zhang, Y., Zhang, W., Wang, W., Wang, Y., Du, Z., Li, X., et al. (2025) · arXiv

Information Retrieval and Search BehaviorRecommender Systems and Techniques

Cited by 52

AutoGroup: Automatic Feature Grouping for Modelling Explicit High-Order Feature Interactions in CTR Prediction

Liu, B., Xue, N., Guo, H., Tang, R., Zafeiriou, S., He, X., & Li, Z. (2020) · Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 45

From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs

Wu, Y., Liang, S., Zhang, C., Wang, Y., Zhang, Y., Guo, H., Tang, R., & Liu, Y. (2025) · arXiv

Topic ModelingMemory Processes and Influences

Cited by 3