Just talk to me: a field study of expertise location
CSCW '98 Proceedings of the 1998 ACM conference on Computer supported cooperative work
Social net: using patterns of physical proximity over time to infer shared interests
CHI '02 Extended Abstracts on Human Factors in Computing Systems
Clustering for opportunistic communication
Proceedings of the 11th international conference on World Wide Web
Supporting awareness of shared interests and experiences in community
ACM SIGGROUP Bulletin
Software Agents and Soft Computing: Towards Enhancing Machine Intelligence, Concepts and Applications
Augmenting the social space of an academic conference
CSCW '04 Proceedings of the 2004 ACM conference on Computer supported cooperative work
Social matching: A framework and research agenda
ACM Transactions on Computer-Human Interaction (TOCHI)
Being accurate is not enough: how accuracy metrics have hurt recommender systems
CHI '06 Extended Abstracts on Human Factors in Computing Systems
A face(book) in the crowd: social Searching vs. social browsing
CSCW '06 Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work
The truth about lying in online dating profiles
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Harvesting with SONAR: the value of aggregating social network information
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Motivations for social networking at work
Proceedings of the 2008 ACM conference on Computer supported cooperative work
Do you know?: recommending people to invite into your social network
Proceedings of the 14th international conference on Intelligent user interfaces
Making sense of strangers' expertise from signals in digital artifacts
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Make new friends, but keep the old: recommending people on social networking sites
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Bowling online: social networking and social capital within the organization
Proceedings of the fourth international conference on Communities and technologies
Personalized recommendation of social software items based on social relations
Proceedings of the third ACM conference on Recommender systems
Increasing engagement through early recommender intervention
Proceedings of the third ACM conference on Recommender systems
FriendSensing: recommending friends using mobile phones
Proceedings of the third ACM conference on Recommender systems
Same places, same things, same people?: mining user similarity on social media
Proceedings of the 2010 ACM conference on Computer supported cooperative work
Using latent topics to enhance search and recommendation in Enterprise Social Software
Expert Systems with Applications: An International Journal
Best faces forward: a large-scale study of people search in the enterprise
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Ads and the city: considering geographic distance goes a long way
Proceedings of the sixth ACM conference on Recommender systems
Mining social relationship types in an organization using communication patterns
Proceedings of the 2013 conference on Computer supported cooperative work
Who should I add as a "friend"?: a study of friend recommendations using proximity and homophily
Proceedings of the 4th International Workshop on Modeling Social Media
Most liked, fewest friends: patterns of enterprise social media use
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
SpinRadar: a spontaneous service provision middleware for place-aware social interactions
Personal and Ubiquitous Computing
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Recent studies on people recommendation have focused on suggesting people the user already knows. In this work, we use social media behavioral data to recommend people the user is not likely to know, but nonetheless may be interested in. Our evaluation is based on an extensive user study with 516 participants within a large enterprise and includes both quantitative and qualitative results. We found that many employees valued the recommendations, even if only one or two of nine recommendations were interesting strangers. Based on these results, we discuss potential deployment routes and design implications for a stranger recommendation feature.