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个美国-基于研究生参加博士生联合会举行的第12届计算机协会（ACM）网络搜索和数据挖掘国际会议（WSDM 2019），在墨尔本举行，澳大利亚，2019年2月11日至15日。该联盟允许博士生与既定的研究人员和其他学生互动，通过演讲，问答环节，小组讨论，并邀请演讲。 每位参与者将对他们的研究进行简短的介绍，并将收到至少一位教师导师以及同学的反馈。该联盟将进一步包括由教师领导的活动？例如小组讨论？为学生提供更多有关毕业后进入就业市场的信息。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会议旨在支持多样化的学生群体，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，审阅全文和海报会议。WSDM在Web和社交网络上发布与搜索和数据挖掘相关的原创，高质量的论文，重点是搜索和数据挖掘，算法设计和分析，经济影响以及深入的准确性和性能实验分析的实用而有原则的新颖模型。最近的WSDM会议吸引了大约600名与会者，其中来自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。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值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.