Collaborative information finding in smaller communities: The case of research talks

Peter Brusilovsky; Denis Parra; Shaghayegh Sahebi; Chirayu Wongchokprasitti

6th International ICST Conference on Collaborative Computing: Networking, Applications, Worksharing

Research Article

Collaborative information finding in smaller communities: The case of research talks

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@INPROCEEDINGS{10.4108/icst.collaboratecom.2010.27,
    author={Peter Brusilovsky and Denis Parra and Shaghayegh Sahebi and Chirayu Wongchokprasitti},
    title={Collaborative information finding in smaller communities: The case of research talks},
    proceedings={6th International ICST Conference on Collaborative Computing: Networking, Applications, Worksharing},
    publisher={IEEE},
    proceedings_a={COLLABORATECOM},
    year={2011},
    month={5},
    keywords={Keywords Papers Recommendation System Talks Tags User Profile Fusion},
    doi={10.4108/icst.collaboratecom.2010.27}
}

Peter Brusilovsky
Denis Parra
Shaghayegh Sahebi
Chirayu Wongchokprasitti
Year: 2011
Collaborative information finding in smaller communities: The case of research talks
COLLABORATECOM
ICST
DOI: 10.4108/icst.collaboratecom.2010.27

Peter Brusilovsky¹^,*, Denis Parra¹^,*, Shaghayegh Sahebi²^,*, Chirayu Wongchokprasitti¹^,*

1: School of Information Sciences and the Intelligent Systems Program, University of Pittsburgh, Pittsburgh, PA
2: Intelligent Systems Program, University of Pittsburgh, Pittsburgh, PA 15260

*Contact email: peterb@pitt.edu, dap89@pitt.edu, sahebi@cs.pitt.edu, chw20@pitt.edu

Abstract

Social navigation and social tagging technologies enable user communities to assemble the collective wisdom, and use it to help community members in finding the right information. However, it takes a significantly-sized community to make a social system truly useful. The question addressed in this paper is whether collaborative information finding is feasible in the context of smaller communities. To answer this question, we developed two social systems specifically focused on smaller communities - CoMeT and Conference Navigator II - and explored several techniques to increase the volume of user contributions. This paper reviews the explored techniques and presents empirical evidence that demonstrate their effectiveness.

Keywords: Keywords Papers Recommendation System Talks Tags User Profile Fusion

Published: 2011-05-12
Publisher: IEEE

: http://dx.doi.org/10.4108/icst.collaboratecom.2010.27