WWW / The Web Conference

Efficient Learning of Sparse Representations from Interactions

从交互中高效学习稀疏表示

Vojtěch Vančura, Martin Spišák, Rodrigo Alves, Ladislav Peška

AI总结 通过高效学习稀疏表示，实现推荐系统中嵌入规模的显著压缩，同时保持推荐准确性。

Comments In the proceedings of the Web Conference (WWW) 2026 (4 pages)

Camel: Frame-Level Bandwidth Estimation for Low-Latency Live Streaming under Video Bitrate Undershooting

Camel：面向低延迟实时流媒体的帧级带宽估计

Liming Liu, Zhidong Jia, Li Jiang, Wei Zhang, Lan Xie, Feng Qian, Leju Yan, Bing Yan, Qiang Ma, Zhou Sha, Wei Yang, Yixuan Ban, Xinggong Zhang

AI总结 Camel通过帧级拥塞控制算法提升低延迟流媒体的带宽利用率，减少卡顿并提高媒体质量。

Comments 8 pages, 20 figures, to appear in WWW 2026

Journal ref Proceedings of the ACM Web Conference 2026 (WWW '26)

Personalized Parameter-Efficient Fine-Tuning of Foundation Models for Multimodal Recommendation

面向多模态推荐的个性化参数高效微调

Sunwoo Kim, Hyunjin Hwang, Kijung Shin

AI总结 本文提出PerPEFT，一种面向多模态推荐的个性化参数高效微调策略，通过按兴趣分组并为每个组分配独立模块，提升推荐效果。

Comments To be published at The Web Conference 2026 (WWW 2026)

VK-LSVD: A Large-Scale Industrial Dataset for Short-Video Recommendation

VK-LSVD：一个大规模工业数据集用于短视频推荐

Aleksandr Poslavsky, Alexander D'yakonov, Yuriy Dorn, Andrey Zimovnov

AI总结 VK-LSVD是一个大规模工业数据集，用于提升短视频推荐系统的研究与应用

Comments Accepted to The ACM Web Conference 2026 (WWW '26). Preprint of conference paper. 7 pages, 2 (7) figures, 4 tables. Dataset available at: https://huggingface.co/datasets/deepvk/VK-LSVD

Truth with a Twist: The Rhetoric of Persuasion in Professional vs. Community-Authored Fact-Checks

真理中的微妙之处：专业与社区撰写的事实核查中的说服修辞

Olesya Razuvayevskaya, Kalina Bontcheva

机构 * The University of Sheffield（谢菲尔德大学） 纠错

AI总结 本研究比较了专业与社区撰写的事实核查中的说服技巧，发现两者在技巧使用上无显著差异，并揭示了修辞差异背后的机构规范和主题覆盖差异。

Comments In Proceedings of the ACM Web Conference 2026 (WWW 2026)