2021年WSDN（ACM International Conference on Web Search And Data Mining，ACM网络搜索与数据挖掘国际会议）优秀论文奖出炉，共有5篇论文入选：

337: A/B Testing, Controlled Experiments, Surrogate Metrics by Weitao Duan, Shan Ba, Chunzhe Zhang (LinkedIn Corporation)

380: Contextualizing Trending Entities in News Stories by Marco Ponza (Bloomberg LP), Diego Ceccarelli (Bloomberg LP), Paolo Ferragina (University of Pisa), Edgar Meij (Bloomberg L.P.), Sambhav Kothari (Bloomberg LP)

488: Generative Models are Unsupervised Predictors of Page Quality: A Colossal-Scale Study by Dara Bahri, Yi Tay, Che Zheng, Donald Metzler, Cliff Brunk, Andrew Tomkins (Google Research) 将生成式模型用于无监督评价网页语言/内容质量，通过人工评价证明，训练用来区分人工和机器生成文本的分类器，可作为“页面质量”的无监督预测器，在没有任何额外训练的情况下检测出低质量的网页内容。 （二作Yi Tay曾经在2018年发了14篇顶会一作）

513: RePBubLik: Reducing Polarized Bubble Radius with Link Insertions by Shahrzad Haddadan (Brown university), Cristina Menghini (Sapienza University), Matteo Riondato (Amherst College), Eli Upfal (Brown University)

521: FACE-KEG: FAct Checking Explained using KnowledgE Graphs by Nikhita Vedula (The Ohio State University), Srinivasan Parthasarathy (The Ohio state university)

完整的接收论文列表：https://www.wsdm-conference.org/2021/accepted-papers.php。

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