Interactive Assigning of Conference Sessions with Visualization and Topic Modeling

Yun Han*, Zhenhuang Wang, Siming Chen, Guozheng Li, Xiaolong Zhang, Xiaoru Yuan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

Creating thematic sessions based on accepted papers is important to the success of a conference. Facing a large number of papers from multiple topics, conference organizers need to identify the topics of papers and group them into sessions by considering the constraints on session numbers and paper numbers in individual sessions. In this paper, we present a system using visualization and topic modeling to help the construction of conference sessions. The system provides multiple automatically generated session schemes and allows users to create, evaluate, and manipulate paper sessions with given constraints. A case study based on our system on the VAST papers shows that our method can help users successfully construct coherent conference sessions. In addition to conference session management, our method can be extended to other tasks, such as event and class schedule.

Original languageEnglish
Title of host publication2020 IEEE Pacific Visualization Symposium, PacificVis 2020 - Proceedings
EditorsFabian Beck, Jinwook Seo, Chaoli Wang
PublisherIEEE Computer Society
Pages236-240
Number of pages5
ISBN (Electronic)9781728156972
DOIs
Publication statusPublished - Jun 2020
Externally publishedYes
Event13th IEEE Pacific Visualization Symposium, PacificVis 2020 - Tianjin, China
Duration: 14 Apr 202017 Apr 2020

Publication series

NameIEEE Pacific Visualization Symposium
Volume2020-June
ISSN (Print)2165-8765
ISSN (Electronic)2165-8773

Conference

Conference13th IEEE Pacific Visualization Symposium, PacificVis 2020
Country/TerritoryChina
CityTianjin
Period14/04/2017/04/20

Keywords

  • Conference scheduling
  • Constraint solving
  • Interactive clustering visualization
  • Topic modeling
  • Visual analytics

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