Proceedings of the Eighth ACM International Conference on Web Search and Data Mining

M. de Rijke, Milad Shokouhi, A. Tomkins, Min Zhang
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引用次数: 4

Abstract

It's our pleasure to welcome you to WSDM, the 10th annual ACM International Conference on Web Search and Data Mining, held in Cambridge, UK. WSDM is one of the premier conferences on web inspired research involving search and data mining. We are pleased to present here the proceedings of the conference. The program reflects the breadth and diversity of research in the field and showcases the latest developments in the field.The conference received a total of 505 submissions, which is 30% higher than any previous WSDM conference. The submitted papers cover the research of 1796 authors across 50 countries. Of these, 80 were accepted for publication. WSDM has historically used a two-tier single-blind review process. This year, we applied this same procedure, but we also experimented with double-blind reviews in some cases. We will present analysis of the data from this experiment before the conference itself. In the first stage of reviewing, four Program Committee members were assigned to each paper. In 90% of cases, all four reviews were completed; in 10% of cases, only three reviews were completed. The PC members provided ratings and comments while evaluating the papers according to the standard criteria of relevance, quality, reproducibility, clarity, and impact. This resulted in the collection of 1963 reviews. In the second stage, every paper was assigned to a Senior PC member. The SPC member was tasked to oversee a discussion amongst the reviewers and attempt to reach a consensus recommendation for the paper. The final decisions were based on all of the above. Ultimately 80 papers were selected for inclusion in the program. We owe a debt of gratitude to the 42 Senior PC members and the 242 PC members who participated in this process. The WSDM 2017 acceptance rate of around 16% is 1-2% lower than previous years, but the number of submitted papers is 30% higher. This year, continuing with WSDM tradition, single-track oral presentation slots were allocated to all 80 accepted papers. Out of the 80 papers, 24 were assigned long presentation slots and 56 were assigned short presentation slots. This assignment was based on the topic and results in each paper, with the Program Chairs assigning long slots to papers more likely to appeal to a broader audience. In addition to the oral presentations, all papers will be presented as posters in interactive sessions. The technical program this year features keynotes by prominent researchers from academia and industry: Ricardo Baeza-Yates (NTENT, USA; UPF, Spain; and U. de Chile), Claire Cardie (Cornell University), and Steve Young (Cambridge University). The program also features four invited Practice and Experience talks, which were introduced for the first time at WSDM 2014: Andrew Blake (Alan Turing Institute), Ralf Herbrich (Amazon), Anjali Joshi (Google) and Jan Pedersen (Microsoft). We would like to thank the keynote and P&E speakers for sharing their technical insights and research contributions with the conference attendees.
第八届ACM网络搜索和数据挖掘国际会议论文集
我们很高兴欢迎您参加在英国剑桥举行的第10届ACM网络搜索和数据挖掘国际会议WSDM。WSDM是关于涉及搜索和数据挖掘的web启发研究的主要会议之一。我们很高兴在此宣读会议记录。该计划反映了该领域研究的广度和多样性,并展示了该领域的最新发展。会议共收到505份提交,比以往任何一次WSDM会议都高出30%。提交的论文涵盖了50个国家1796位作者的研究。其中80篇被接受发表。WSDM历来使用两层单盲评审过程。今年,我们采用了同样的程序,但在某些情况下,我们也尝试了双盲审查。我们将在会议之前对实验数据进行分析。在评审的第一阶段,每篇论文分配了四名项目委员会成员。在90%的病例中,所有四项审查都完成了;在10%的案例中,只完成了三次审查。PC成员根据相关性、质量、可重复性、清晰度和影响力等标准标准对论文进行评估,并提供评级和评论。这导致了1963年评论的收集。在第二阶段,每篇论文被分配给一名高级PC成员。SPC成员的任务是监督审稿人之间的讨论,并试图就论文达成一致建议。最终的决定是基于上述所有因素。最终有80篇论文入选该项目。我们要感谢42位高级委员和242位参与这个过程的委员。2017年WSDM的接受率约为16%,比往年下降了1-2%,但提交的论文数量增加了30%。今年,延续WSDM的传统,为所有80篇被接受的论文分配了单轨口头陈述时间。在80篇论文中,24篇被分配了长时间的演讲,56篇被分配了短时间的演讲。这项任务是基于每篇论文的主题和结果,项目主席为更有可能吸引更广泛受众的论文分配了较长的时间。除了口头报告外,所有论文都将以海报的形式在互动会议上展示。今年的技术项目由来自学术界和工业界的杰出研究人员发表主题演讲:Ricardo Baeza-Yates (NTENT,美国;趟车、西班牙;克莱尔·卡迪(康奈尔大学)和史蒂夫·杨(剑桥大学)。该计划还包括四个受邀的实践和经验讲座,这是在WSDM 2014上首次介绍的:Andrew Blake (Alan Turing Institute), Ralf Herbrich (Amazon), Anjali Joshi (Google)和Jan Pedersen (Microsoft)。我们要感谢主讲人和P&E演讲者与与会者分享他们的技术见解和研究贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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