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Do you know?: recommending people to invite into your social network
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International Conference on Intelligent User Interfaces archive
Proceedings of the 13th international conference on Intelligent user interfaces table of contents
Sanibel Island, Florida, USA
SESSION: Recommendations table of contents
Pages 77-86  
Year of Publication: 2009
ISBN:978-1-60558-168-2
Authors
Ido Guy  IBM Haifa Research Lab, Haifa, Israel
Inbal Ronen  IBM Haifa Research Lab, Haifa, Israel
Eric Wilcox  IBM Almaden Research Center, Almaden, CA, USA
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
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ABSTRACT

In this paper we describe a novel UI and system for providing users with recommendations of people to invite into their explicit enterprise social network. The recommendations are based on aggregated information collected from various sources across the organization and are displayed in a widget, which is part of a popular enhanced employee directory. Recommended people are presented one by one, with detailed reasoning as for why they were recommended. Usage results are presented for a period of four months that indicate an extremely significant impact on the number of connections created in the system. Responses in the organization's blogging system, a survey with over 200 participants, and a set of interviews we conducted shed more light on the way the widget is used and implications of the design choices made.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Boyd, D.M. and Ellison, N.B. Social network sites: Definition, history, and scholarship. Journal of CMC, (2007), 13, 1.
 
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Official LinkedIn Blog: http://blog.linkedin.com/2008/04/11/learn-more-abou-2/.
 
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Official Facebook Blog: http://blog.facebook.com/blog.php?post=15610312130.
 
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Sinha, R. and Swearingen, K. Comparing Recommendations made by Online Systems and Friends. Proc. DELOS--NSF Workshop on Personalization and Recommender Systems in Digital Libraries, (2001).
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Tintarev, N. Masthoff, J. A Survey of Explanations in Recommender Systems. Proc. ICDEW'07. (2007), 801--810.


Collaborative Colleagues:
Ido Guy: colleagues
Inbal Ronen: colleagues
Eric Wilcox: colleagues