TY - GEN
T1 - Do you know? Recommending people to invite into your social network
AU - Guy, Ido
AU - Ronen, Inbal
AU - Wilcox, Eric
N1 - Funding Information:
This work has been supported in part by the Environmental Protection Agency under Grant No. R-800729-02-0, by the Energy Research and Development Administration under Grant No. E (11-1)-2680, and by the National Aeronautics and Space Administration under Grant No. NGR 22-009-378. The assistance of Monima Briggs and David Bigio is gratefully acknowledged.
PY - 2009/9/21
Y1 - 2009/9/21
N2 - 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.
AB - 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.
KW - People recommendations
KW - Recommender systems
KW - SNS
KW - Social networks
UR - http://www.scopus.com/inward/record.url?scp=77953873864&partnerID=8YFLogxK
U2 - 10.1145/1502650.1502664
DO - 10.1145/1502650.1502664
M3 - Conference contribution
AN - SCOPUS:77953873864
SN - 9781605581682
T3 - International Conference on Intelligent User Interfaces, Proceedings IUI
SP - 77
EP - 86
BT - Proceedingsc of the 13th International Conference on Intelligent User Interfaces, IUI'09
T2 - 13th International Conference on Intelligent User Interfaces, IUI'09
Y2 - 8 February 2009 through 11 February 2009
ER -