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I Don't Think We've Met: Encouraging Collaboration via Topic-Based Search

Published: 28 February 2015 Publication History

Abstract

We present PaperPilot1 (bit.ly/paperpilot) a new tool which performs smart collaborator search using research concepts automatically extracted from the CSCW domain, as characterized by 5,516 papers taken from four conferences in the area. PaperPilot infers how a paragraph of text (say an abstract or news article) relates to these research concepts and uses this information to retrieve the 100 most similar papers and identify the most relevant topic for each. These topics can be used both to obtain a quick overview of the papers and as an ice breaker for opening conversations with potential collaborators. To ensure the smart collaborator search is relevant to CSCW 2015 attendees, all accepted papers and authors will also be included.

References

[1]
Abouzied, A., & Chen, J. CommonTies: a context-aware nudge towards social interaction. In CSCW Companion. ACM (2014), 1--4.
[2]
Blei, D. M. Probabilistic topic models. Communications of the ACM, (2012), 55(4), 77--84.
[3]
Desjardins, A., Neustaedter, C., Greenberg, S., & Wakkary, R. (2014, February). Collaboration surrounding beacon use during companion avalanche rescue. In CSCW. ACM (2014). 877--887
[4]
Halfaker, A., Geiger, R. S., Lampe, C., Terveen, L., Bruckman, A., Keegan, B., ... & Fitzpatrick, G. Community, impact and credit: where should i submit my papers? In CSCW Companion. ACM (2013), 89--94.
[5]
Padilla, S., Methven, T. S., Corne, D. W., & Chantler, M. J. Hot topics in CHI: trend maps for visualising research. In CHI'14 EA. ACM (2014), 815--824.
[6]
Wang, C., & Blei, D. M. Collaborative topic modeling for recommending scientific articles. In KDD. ACM (2011), 448--456.

Cited By

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  • (2017)Understanding Concept MapsProceedings of the 2017 CHI Conference on Human Factors in Computing Systems10.1145/3025453.3025977(815-827)Online publication date: 2-May-2017
  • (2016)ResVizProceedings of the 2016 CHI Conference on Human Factors in Computing Systems10.1145/2858036.2858181(5015-5027)Online publication date: 7-May-2016

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  1. I Don't Think We've Met: Encouraging Collaboration via Topic-Based Search

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    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    CSCW'15 Companion: Proceedings of the 18th ACM Conference Companion on Computer Supported Cooperative Work & Social Computing
    February 2015
    350 pages
    ISBN:9781450329460
    DOI:10.1145/2685553
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 28 February 2015

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    Author Tags

    1. authors
    2. break the ice
    3. collaboration
    4. icebreaker
    5. natural language processing
    6. topic modelling
    7. topic-based search
    8. visualization

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    • Demonstration

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    CSCW '15
    Sponsor:

    Acceptance Rates

    CSCW'15 Companion Paper Acceptance Rate 161 of 575 submissions, 28%;
    Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

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    CSCW '25

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    Cited By

    View all
    • (2017)Understanding Concept MapsProceedings of the 2017 CHI Conference on Human Factors in Computing Systems10.1145/3025453.3025977(815-827)Online publication date: 2-May-2017
    • (2016)ResVizProceedings of the 2016 CHI Conference on Human Factors in Computing Systems10.1145/2858036.2858181(5015-5027)Online publication date: 7-May-2016

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