A big shout out to Prof. Chao HUANG and his research team for having four papers listed as the Most Influential Papers in Version 2024-05 in The Web Conference (WWW) & ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR). These prestigious conferences are renowned for Data Science, Information Retrieval, and Web Intelligence. Their papers, with Prof. HUANG being the corresponding author, received top rankings in ACM WWW 2023, ACM SIGIR 2023, and ACM SIGIR 2021 for their impactful research work.
This is undoubtedly a testament to the hard work and dedication of our talented students.
The papers that have been distinguished are as follows -
"Debiased Contrastive Learning for Sequential Recommendation" (WWW 2023)
"Multi-Modal Self-Supervised Learning for Recommendation" (WWW 2023)
"Disentangled Contrastive Collaborative Filtering" (SIGIR 2023)
"Graph Meta Network for Multi-Behavior Recommendation" (SIGIR 2021)
Please refer to this link for further details.
