ACM Recommender Systems Conference 2011 Doctoral Symposium

ACM 推荐系统大会 2011 博士生研讨会

• 批准号: 1144050
• 负责人: Alexander Tuzhilin
• 金额: $ 0.98万
• 依托单位: New York University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1144050&HistoricalAwards=false
• 关键词: ACM; Recommender; Systems; Conference; 2011

This is funding to support travel for a diverse group of US PhD students and distinguished faculty mentors to participate in an international doctoral consortium on research on recommender systems that will be co-located with the 2011 ACM Conference on Recommender Systems (ACM RecSys) in Chicago, Illinois. RecSys is a leading forum that brings together faculty, students, research staff, and industry researchers who share an interest in advancing the science of recommender systems, both in terms of the underlying algorithms that predict choices based on a variety of data (e.g., ratings, social links, context) and in terms of the human elements of the process such as eliciting ratings or presenting recommendations to users. The main goal of this Doctoral Colloquium is to help train the next generation of researchers in this area.The 2011 RecSys Doctoral Consortium will provide a group of approximately 6 PhD students studying recommender systems with an environment in which they can share and discuss their goals, methods and results at an early stage of their research. It will take place on October 23, 2011, the first day of the conference. By participating in the doctoral consortium, students will gain feedback on their work from other students and six prominent faculty members, allowing them to enhance their own research proposal. Students will also develop a better understanding of the different research communities engaged in the study of recommender systems, and learn how to position their own work within this community. In addition, the consortium will provide students with opportunities to make new professional connections beyond their own disciplines. Students will be recruited for the doctoral consortium through advertisement on the conference website, postings to relevant mailing lists and direct solicitation to faculty working in the area of information science and related fields. Particular attention will be placed on identifying participants from under-represented groups. To apply for the consortium, students will submit an extended abstract outlining their research goals and work to date, a curriculum vita, a paragraph describing what they expect to get from participating in the doctoral consortium, and a letter of reference from their primary advisor. Applications will be rated by the consortium chairs in terms of originality, importance of research topic, intellectual and methodological rigor, stage of work, and advisor recommendation. Priority will be given to students who have formulated their dissertation topic but are early enough in the process that they can still benefit from feedback. Broader impacts: The RecSys doctoral consortia traditionally bring together the best of the next generation of researchers in recommender systems and related areas, allowing them to create a social network both among themselves and with senior researchers at a critical stage in their professional development. Participation is encouraged from a broad range of relevant disciplines and approaches, thereby broadening attendees' perspectives on their topics of study and promoting advancement of the field. The organizers will try explicitly to identify and include the broadest possible group of highly qualified participants. As a consequence of these steps, the student and faculty participants will constitute a diverse group across a variety of dimensions, which will help broaden the students' horizons to the future benefit of the field and to U.S. e-commerce, which relies heavily on recommender systems.

这笔资金用于支持不同群体的美国博士生和杰出教师导师参加国际博士生联盟的推荐系统研究，该联盟将与 2011 年 ACM 推荐系统会议 (ACM RecSys) 在芝加哥举行，伊利诺伊州。 RecSys 是一个领先的论坛，汇集了对推进推荐系统科学感兴趣的教师、学生、研究人员和行业研究人员，无论是在基于各种数据（例如评级）预测选择的底层算法方面、社交链接、上下文）以及流程中的人为因素，例如获得评级或向用户提供推荐。本次博士讨论会的主要目标是帮助培训该领域的下一代研究人员。2011 年 RecSys 博士联盟将为大约 6 名研究推荐系统的博士生提供一个可以分享和讨论其目标的环境，研究早期阶段的方法和结果。会议将于2011年10月23日举行，即会议的第一天。 通过参加博士联盟，学生将从其他学生和六位杰出教员那里获得对他们工作的反馈，从而使他们能够改进自己的研究计划。学生还将更好地了解从事推荐系统研究的不同研究社区，并学习如何在该社区中定位自己的工作。此外，该联盟还将为学生提供在自己学科之外建立新的专业联系的机会。 博士联盟将通过在会议网站上发布广告、在相关邮件列表上发布信息以及直接向信息科学及相关领域工作的教师招募学生来招募学生。将特别关注确定来自代表性不足群体的参与者。 要申请加入该联盟，学生将提交一份详细的摘要，概述他们的研究目标和迄今为止的工作，一份简历，一段描述他们希望从参加博士联盟中获得什么，以及一封来自他们的主要顾问的推荐信。联盟主席将根据原创性、研究主题的重要性、知识和方法的严谨性、工作阶段和顾问推荐对申请进行评级。将优先考虑那些已经制定了论文主题但处于较早阶段的学生，他们仍然可以从反馈中受益。更广泛的影响：RecSys 博士联盟传统上汇集了推荐系统和相关领域的下一代最优秀的研究人员，使他们能够在自己之间以及与处于专业发展关键阶段的高级研究人员之间创建一个社交网络。鼓励来自广泛的相关学科和方法的参与，从而拓宽与会者对其研究主题的看法并促进该领域的进步。组织者将明确尝试确定并纳入尽可能广泛的高素质参与者群体。 通过这些步骤，学生和教师参与者将组成一个跨多个维度的多元化群体，这将有助于拓宽学生的视野，了解该领域的未来利益以及严重依赖推荐系统的美国电子商务系统。