WORKSHOP: Doctoral Symposium at RecSys 2016

研讨会:RecSys 2016 博士研讨会

基本信息

  • 批准号:
    1641072
  • 负责人:
  • 金额:
    $ 2.09万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2016
  • 资助国家:
    美国
  • 起止时间:
    2016-06-15 至 2018-05-31
  • 项目状态:
    已结题

项目摘要

This is funding to support participation by about 8 promising doctoral students along with about 6 senior members of the research community who will serve as mentors, in a Doctoral Symposium (workshop) to be held in conjunction with and immediately preceding the technical program at the 10th ACM Conference on Recommender Systems (RecSys 2016), which will take place September 15-19 on the MIT and IBM Research campuses in Boston, MA. The ACM RecSys conferences are the premier international forum for the presentation of new research results, systems and techniques in the broad field of recommender systems. Recommendation is a particular form of information filtering that exploits past behaviors and user similarities to generate a list of information items that is personally tailored to an end-user's preferences. RecSys is attended annually by approximately 500 researchers and practitioners from academia and from many of the world's leading e-commerce companies, who come together to present their latest results and identify new trends and challenges in providing recommendation components in a range of innovative application contexts. In addition to the main technical track, the RecSys 2016 program will feature keynote and invited talks as well as tutorials and workshops covering the state-of-the-art in this domain. Research reports published in the Conference Proceedings are included in the ACM Digital Library, and are heavily refereed and widely cited. More information about the conference may be found online at https://recsys.acm.org/recsys16/.The goal of the RecSys Doctoral Symposium is to provide PhD students with an opportunity to present their work to a group of mentors and peers from a diverse set of academic and industrial institutions, to receive feedback on their doctoral research plan and progress, and to build a cohort of young researchers interested in similar research topics. Student participants will each be allotted 45 minutes in which to present their ongoing thesis research (about 20 minutes) and to receive feedback from the other students and the mentors (about 25 minutes). The feedback will be geared toward helping student participants understand and articulate how their work is positioned relative to other RecSys research, whether their topics are adequately focused for dissertation research projects, whether their methods are correctly chosen and applied, whether their results are being appropriately analyzed and presented, etc. Discussion will be encouraged. The symposium will conclude with a group dinner to help solidify new relationships. In addition to the full day of the Symposium (on Friday September 16), during the main conference students will also present their dissertation work and plans in the form of a poster presentation to get fresh perspectives. Thus, the Doctoral Symposium will give student participants exposure to their new research community, both by presenting their own work and by observing and interacting with established professionals in the field. It will encourage students at this critical time in their careers to begin building a social support network of peers and mentors. The organizers will take steps proactively to achieve diversity among the student participants by institution, country, research topic and approach, and demographics. To this end, they will limit participation to one or two students per institution, depending on the number of applicants.
这笔资金将支持约8名有前途的博士生以及约6名研究界的高级成员作为导师参加博士研讨会(研讨会),该研讨会将于9月15日至19日在麻省理工学院和IBM波士顿研究校区举行,该研讨会将与第10届ACM推荐系统会议(RecSys 2016)的技术项目同时举行。ACM RecSys会议是介绍推荐系统广泛领域的新研究成果、系统和技术的首要国际论坛。推荐是一种特殊形式的信息过滤,它利用过去的行为和用户相似性来生成一个信息项列表,该列表根据最终用户的个人偏好进行定制。来自学术界和许多世界领先的电子商务公司的大约500名研究人员和从业人员每年参加RecSys会议,他们聚集在一起展示他们的最新成果,并确定在一系列创新应用环境中提供推荐组件的新趋势和挑战。除了主要的技术专题之外,RecSys 2016计划还将包括主题演讲和特邀演讲,以及涵盖该领域最新技术的教程和研讨会。在会议论文集中发表的研究报告包含在ACM数字图书馆中,并被大量参考和广泛引用。RecSys博士研讨会的目标是为博士生提供一个机会,向一群来自不同学术和工业机构的导师和同行展示他们的工作,听取他们的博士研究计划和进展的反馈,并建立一个对类似研究主题感兴趣的年轻研究人员群体。每个学生参与者将有45分钟的时间来展示他们正在进行的论文研究(约20分钟),并接受其他学生和导师的反馈(约25分钟)。反馈将旨在帮助学生参与者理解和阐明他们的工作相对于其他RecSys研究的定位,他们的主题是否足够专注于论文研究项目,他们的方法是否正确选择和应用,他们的结果是否得到适当的分析和呈现,等等。鼓励讨论。研讨会将以集体晚餐结束,以帮助巩固新的关系。除了一整天的研讨会(9月16日星期五),在主会议期间,学生们还将以海报展示的形式展示他们的论文工作和计划,以获得新的视角。因此,博士研讨会将通过展示他们自己的工作以及观察和与该领域的知名专业人士互动,为学生参与者提供接触新的研究社区的机会。它将鼓励学生在职业生涯的这个关键时刻开始建立一个由同龄人和导师组成的社会支持网络。组织者将积极采取措施,实现学生参与者在机构、国家、研究主题和方法以及人口统计学方面的多样性。为此,根据申请人数,每所学校将限制为1 ~ 2名学生。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Joseph Konstan其他文献

The MovieLens Beliefs Dataset: Collecting Pre-Choice Data for Online Recommender Systems
MovieLens 信念数据集:收集在线推荐系统的预选择数据
  • DOI:
    10.48550/arxiv.2405.11053
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Guy Aridor;Duarte Gonçalves;Ruoyan Kong;Daniel Kluver;Joseph Konstan
  • 通讯作者:
    Joseph Konstan
Conducting Internet-Based HIV/STD Prevention Survey Research: Considerations in Design and Evaluation
  • DOI:
    10.1007/s10461-006-9172-9
  • 发表时间:
    2006-10-20
  • 期刊:
  • 影响因子:
    2.400
  • 作者:
    Willo Pequegnat;B. R. Simon Rosser;Anne M. Bowen;Sheana S. Bull;Ralph J. DiClemente;Walter O. Bockting;Jonathan Elford;Martin Fishbein;Laura Gurak;Keith Horvath;Joseph Konstan;Seth M. Noar;Michael W. Ross;Lorraine Sherr;David Spiegel;Rick Zimmerman
  • 通讯作者:
    Rick Zimmerman

Joseph Konstan的其他文献

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{{ truncateString('Joseph Konstan', 18)}}的其他基金

Collaborative Research: CCRI: New: A Research News Recommender Infrastructure with Live Users for Algorithm and Interface Experimentation
合作研究:CCRI:新:研究新闻推荐基础设施与实时用户进行算法和界面实验
  • 批准号:
    2232551
  • 财政年份:
    2023
  • 资助金额:
    $ 2.09万
  • 项目类别:
    Standard Grant
CCRI: Planning: RecommendNews: Community Research Infrastructure for Online Field Experiments
CCRI:规划:推荐新闻:在线现场实验的社区研究基础设施
  • 批准号:
    2016397
  • 财政年份:
    2020
  • 资助金额:
    $ 2.09万
  • 项目类别:
    Standard Grant
HCC: Small: Experiments in Community Q&A
HCC:小型:社区 Q 中的实验
  • 批准号:
    1319382
  • 财政年份:
    2013
  • 资助金额:
    $ 2.09万
  • 项目类别:
    Continuing Grant
WORKSHOP: Social-Computational Systems (SoCS) Doctoral Symposium
研讨会:社会计算系统 (SoCS) 博士研讨会
  • 批准号:
    1049379
  • 财政年份:
    2010
  • 资助金额:
    $ 2.09万
  • 项目类别:
    Standard Grant
HCC: Small: Net Fishing: Pulling Valuable Tweets, Feeds, and Blogs from the Online Message Stream
HCC:小型:网络钓鱼:从在线消息流中提取有价值的推文、提要和博客
  • 批准号:
    1017697
  • 财政年份:
    2010
  • 资助金额:
    $ 2.09万
  • 项目类别:
    Standard Grant
HCC-Large: Collaborative Research: Understanding Online Volunteer Communities: Toward Theory-Based Design
HCC-Large:协作研究:了解在线志愿者社区:走向基于理论的设计
  • 批准号:
    0808692
  • 财政年份:
    2008
  • 资助金额:
    $ 2.09万
  • 项目类别:
    Standard Grant
HCC-Small: Understanding and Supporting Online Question-Answering Sites
HCC-Small:理解和支持在线问答网站
  • 批准号:
    0812148
  • 财政年份:
    2008
  • 资助金额:
    $ 2.09万
  • 项目类别:
    Standard Grant
IIS Workshop: Human-Computer Interaction Doctoral Research Consortium at ACM CHI 2008: Human Factor in Computing Systems
IIS 研讨会:ACM CHI 2008 人机交互博士研究联盟:计算系统中的人为因素
  • 批准号:
    0749033
  • 财政年份:
    2007
  • 资助金额:
    $ 2.09万
  • 项目类别:
    Standard Grant
Enhanced Digital Libraries Through Recommendation: Exploring the Use of Citations, Personal Bibliographies, and Metadata to Synthesize Library Services for Individuals
通过推荐增强数字图书馆:探索使用引文、个人书目和元数据来综合为个人提供图书馆服务
  • 批准号:
    0534939
  • 财政年份:
    2006
  • 资助金额:
    $ 2.09万
  • 项目类别:
    Continuing Grant
ITR: Collaborative Research: Designing On-Line Communities to Enhance Participation -- Bridging Theory and Practice
ITR:协作研究:设计在线社区以提高参与度——理论与实践的桥梁
  • 批准号:
    0324851
  • 财政年份:
    2003
  • 资助金额:
    $ 2.09万
  • 项目类别:
    Continuing Grant

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研讨会:第十一届图论与应用国际会议博士生研讨会
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