KDD

Personalized Recommendation of Dish and Restaurant Collections on iFood

Fernando F. Granado, Davi A. Bezerra, Iuri Queiroz, Nathan Oliveira, Pedro Fernandes, Bruno Schock

机构 * iFood 纠错

Comments Workshop on Two-sided Marketplace Optimization: Search, Discovery, Matching, Pricing & Growth in conjunction with KDD Conference (KDD 2025) in Toronto, Canada

LaTCoder: Converting Webpage Design to Code with Layout-as-Thought

Yi Gui, Zhen Li, Zhongyi Zhang, Guohao Wang, Tianpeng Lv, Gaoyang Jiang, Yi Liu, Dongping Chen, Yao Wan, Hongyu Zhang, Wenbin Jiang, Xuanhua Shi, Hai Jin

Comments KDD 2025 v2

VFLAIR-LLM: A Comprehensive Framework and Benchmark for Split Learning of LLMs

Zixuan Gu, Qiufeng Fan, Long Sun, Yang Liu, Xiaojun Ye

Comments 12 pages, 10 figures, published in KDD2025

Journal ref In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2 (KDD'25), August 3-7, 2025, Toronto, ON, Canada. ACM, New York, NY, USA, 12 pages

A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models

Liangbo Ning, Ziran Liang, Zhuohang Jiang, Haohao Qu, Yujuan Ding, Wenqi Fan, Xiao-yong Wei, Shanru Lin, Hui Liu, Philip S. Yu, Qing Li

机构 * The Hong Kong Polytechnic University（香港理工大学） ； City University of Hong Kong（香港城市大学） ； Michigan State University（密歇根州立大学） ； University of Illinois at Chicago（伊利诺伊大学芝加哥分校） 纠错

Comments This is the long version of the corresponding survey paper accepted by KDD 2025. The tutorial and corresponding slides are available at https://biglemon-ning.github.io/WebAgents/