NSF Student Support for the Doctoral Consortium at the 12th Association for Computing Machinery (ACM) International Conference on Web Search and Data Mining (WSDM 2019)

该奖项支持8名美国研究生参加2019年2月11日至15日在澳大利亚墨尔本举行的第12届计算机械协会(ACM)网络搜索和数据挖掘国际会议(WSDM 2019)联合举办的博士联盟。该联盟允许博士生通过演讲、问答环节、小组讨论和邀请演讲与知名研究人员和其他学生互动。每个参与者将就他们的研究做一个简短的陈述，并将从至少一位教师导师以及其他学生那里获得反馈。该联盟将进一步包括由教职员工领导的活动？比如小组讨论？让学生更多地了解毕业后如何过渡到就业市场。经验丰富的研究人员将分享学术界和工业界的研究和生活经验。WSDM会议旨在支持不同的学生群体，并促进新一代研究人员和实践者在网络搜索和数据挖掘重要领域的发展。WSDM是一个高度选择性的会议，包括邀请演讲、评审全文和海报会议。WSDM发表与Web和Social Web上的搜索和数据挖掘相关的原创、高质量的论文，重点放在搜索和数据挖掘的实用但有原则的新模型、算法设计和分析、经济影响以及对准确性和性能的深入实验分析。最近的WSDM会议吸引了大约600人参加，来自IR、NLP、数据挖掘和ML社区的学术和工业研究实验室的人数相等。WSDM会议记录可通过ACM数字图书馆获得。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This award supports 8 U.S.-based graduate students to participate in Doctoral Consortium held in conjunction with the 12th Association for Computing Machinery (ACM) International Conference on Web Search and Data Mining (WSDM 2019), held in Melbourne, Australia, February 11-15, 2019. The consortium allows doctoral students to interact with established researchers and with other students, through presentations, question-answer sessions, panel discussions, and invited presentations. Each participant will give a short presentation on their research and will receive feedback from at least one faculty mentor as well as from fellow students. The consortium will further include activities led by the faculty ? such as a panel discussion ? to give students more information about the transition into the job market after graduation. Seasoned researchers will share lessons of research and life in academia and industry. WSDM conference seeks to support a diverse body of students and foster development on a new generation of researchers and practitioners in the important areas of web search and data mining.WSDM is a highly selective conference that includes invited talks, refereed full papers and poster sessions. WSDM publishes original, high-quality papers related to search and data mining on the Web and the Social Web, with an emphasis on practical yet principled novelmodels of search and data mining, algorithm design and analysis, economic implications, and in-depth experimental analysis of accuracy and performance. Recent WSDM conferences have been attracting approximately 600 participants with equal numbers coming from academic and industrial research labs from the IR, NLP, data mining and ML communities. WSDM proceedings are available via the ACM Digital Library.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.