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Recommending program committee candidates for academic conferences

Published: 28 October 2013 Publication History

Abstract

Establishing a respectful and well-functional program committee (PC) consisting of capable PC members is one of the most important tasks for conference organizers. However, little research has been done for automatic recommendation of PC candidates. PC member finding is a complex task, which could be influenced by many factors such as the candidates' research interests' match with conference topics, the candidates' social closeness with PC chairs, the candidates' authoritativeness, as well as the candidates' publication history in the conference. To examine the importance of each feature, we build a dataset that consists of papers from four conferences: KDD, SIGIR, JCDL and GIS (2007-2011) and split it into the training and testing subsets based on the temporal information. The results show that: i) the publication history is the strongest indicator of being PC members; ii) recommendations based on the social closeness also produce reasonable good results; iii) recommend high authority researchers as PC members fails to predict the real PC because there are a large proportion of PC members who actually only have low authority values (we use the PageRank value in coauthor networks to simulate researcher's authority); and iv) applying simple linear combination of different features can make reasonable improvements.

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Cited By

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  • (2022)Reviewer recommendation method for scientific research proposals: a case for NSFCScientometrics10.1007/s11192-022-04389-4127:6(3343-3366)Online publication date: 14-May-2022
  • (2019)An Expert Recommendation Model for Academic Talent EvaluationIntelligent Computing10.1007/978-3-030-22871-2_10(126-139)Online publication date: 23-Jun-2019
  • (2017)Expert suggestion for conference program committees2017 11th International Conference on Research Challenges in Information Science (RCIS)10.1109/RCIS.2017.7956540(221-232)Online publication date: May-2017
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cover image ACM Conferences
CompSci '13: Proceedings of the 2013 workshop on Computational scientometrics: theory & applications
October 2013
44 pages
ISBN:9781450324144
DOI:10.1145/2508497
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 28 October 2013

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Author Tags

  1. entity recommendation
  2. expert finding
  3. social network analysis

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CIKM'13
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CompSci '13 Paper Acceptance Rate 6 of 7 submissions, 86%;
Overall Acceptance Rate 6 of 7 submissions, 86%

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Cited By

View all
  • (2022)Reviewer recommendation method for scientific research proposals: a case for NSFCScientometrics10.1007/s11192-022-04389-4127:6(3343-3366)Online publication date: 14-May-2022
  • (2019)An Expert Recommendation Model for Academic Talent EvaluationIntelligent Computing10.1007/978-3-030-22871-2_10(126-139)Online publication date: 23-Jun-2019
  • (2017)Expert suggestion for conference program committees2017 11th International Conference on Research Challenges in Information Science (RCIS)10.1109/RCIS.2017.7956540(221-232)Online publication date: May-2017
  • (2016)An Author Subject Topic Model for Expert RecommendationInformation Retrieval Technology10.1007/978-3-319-28940-3_7(83-95)Online publication date: 22-Jan-2016
  • (2015)Citation network based framework for ranking academic Publications and venues2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer)10.1109/ICTER.2015.7377681(146-151)Online publication date: Aug-2015

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