Article

The challenges of recommending digital selves in physical spaces

Author:

Joseph F. McCarthyAuthors Info & Claims

RecSys '07: Proceedings of the 2007 ACM conference on Recommender systems

October 2007

Pages 185 - 186

https://doi.org/10.1145/1297231.1297269

Published: 19 October 2007 Publication History

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Abstract

There are a number of online systems where people can, in effect, recommend themselves, or more precisely, represent themselves in ways that may motivate others to seek them out for conversations, business ventures, dates and a variety of other types of interactions and relationships. Several of these systems offer capabilities for people to create profiles of themselves and algorithms for matching profiles to recommend one person to another. When a group of people is gathered together in a physical space, for the purpose of renewing connections or creating new ones, new challenges emerge with respect to which dimensions of people's online representations to inject into that space - how, where and when to recommend whom to whom. This paper briefly describes some experiences and ongoing challenges encountered in determining how best to bridge the gaps between people by bridging the gaps between people's online representations of themselves and their presence in physical space.

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Cited By

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Almousa O(2022)Users' Distribution and Behavior in Academic Social Networking SitesResearch Anthology on Applying Social Networking Strategies to Classrooms and Libraries10.4018/978-1-6684-7123-4.ch065(1204-1218)Online publication date: 8-Jul-2022
https://doi.org/10.4018/978-1-6684-7123-4.ch065
Almousa O(2018)Users' Distribution and Behavior in Academic Social Networking SitesInternational Journal of e-Collaboration10.4018/IJeC.201807010314:3(49-65)Online publication date: 1-Jul-2018
https://dl.acm.org/doi/10.4018/IJeC.2018070103
Almousa O(2011)Users' classification and usage-pattern identification in academic social networks2011 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)10.1109/AEECT.2011.6132525(1-6)Online publication date: Dec-2011
https://doi.org/10.1109/AEECT.2011.6132525
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The challenges of recommending digital selves in physical spaces

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Information & Contributors

Information

Published In

RecSys '07: Proceedings of the 2007 ACM conference on Recommender systems

October 2007

222 pages

ISBN:9781595937308

DOI:10.1145/1297231

General Chair:
Joseph A. Konstan
University of Minnesota, USA
,
Program Chairs:
John Riedl
University of Minnesota, USA
,
Barry Smyth
University College, Dublin, Ireland

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 October 2007

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RecSys07

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RecSys07: ACM Conference on Recommender Systems

October 19 - 20, 2007

MN, Minneapolis, USA

Acceptance Rates

Overall Acceptance Rate 254 of 1,295 submissions, 20%

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RecSys '24

Sponsor:
sigchi

18th ACM Conference on Recommender Systems

October 14 - 18, 2024

Bari , Italy

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Cited By

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Almousa O(2022)Users' Distribution and Behavior in Academic Social Networking SitesResearch Anthology on Applying Social Networking Strategies to Classrooms and Libraries10.4018/978-1-6684-7123-4.ch065(1204-1218)Online publication date: 8-Jul-2022
https://doi.org/10.4018/978-1-6684-7123-4.ch065
Almousa O(2018)Users' Distribution and Behavior in Academic Social Networking SitesInternational Journal of e-Collaboration10.4018/IJeC.201807010314:3(49-65)Online publication date: 1-Jul-2018
https://dl.acm.org/doi/10.4018/IJeC.2018070103
Almousa O(2011)Users' classification and usage-pattern identification in academic social networks2011 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)10.1109/AEECT.2011.6132525(1-6)Online publication date: Dec-2011
https://doi.org/10.1109/AEECT.2011.6132525
Palmer FO'Neill EBrereton MViller SKraal B(2010)Interpreting technology-mediated identityProceedings of the 22nd Conference of the Computer-Human Interaction Special Interest Group of Australia on Computer-Human Interaction10.1145/1952222.1952273(232-239)Online publication date: 22-Nov-2010
https://dl.acm.org/doi/10.1145/1952222.1952273
Kazienko P(2008)Web-Based Recommender Systems and User Needs --the Comprehensive ViewProceedings of the 2008 conference on New Trends in Multimedia and Network Information Systems10.5555/1565754.1565780(243-258)Online publication date: 30-Jun-2008
https://dl.acm.org/doi/10.5555/1565754.1565780
Hosio SKukka HRiekki JWiberg MZaslavsky A(2008)Leveraging social networking services to encourage interaction in public spacesProceedings of the 7th International Conference on Mobile and Ubiquitous Multimedia10.1145/1543137.1543139(2-7)Online publication date: 3-Dec-2008
https://dl.acm.org/doi/10.1145/1543137.1543139

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Recommendations

The context, content & community collage: sharing personal digital media in the physical workplace

Recommending Followees Based on Content Weighted User Interest Homophily

Recommending people to people: the nature of reciprocal recommenders with a case study in online dating