The development of working relationships
Intellectual teamwork
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
What mix of video and audio is useful for small groups doing remote real-time design work?
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Re-place-ing space: the roles of place and space in collaborative systems
CSCW '96 Proceedings of the 1996 ACM conference on Computer supported cooperative work
Referral Web: combining social networks and collaborative filtering
Communications of the ACM
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
Footprints: history-rich tools for information foraging
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Expertise recommender: a flexible recommendation system and architecture
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
Explaining collaborative filtering recommendations
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
Social navigation of food recipes
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Clustering for opportunistic communication
Proceedings of the 11th international conference on World Wide Web
Life on the Screen: Identity in the Age of the Internet
Life on the Screen: Identity in the Age of the Internet
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Why distance matters: effects on cooperation, persuasion and deception
CSCW '02 Proceedings of the 2002 ACM conference on Computer supported cooperative work
User Modeling and User-Adapted Interaction
Livemaps for collection awareness
International Journal of Human-Computer Studies - Special issue on Awareness and the WWW
Unpacking "privacy" for a networked world
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Designing Interfaces to Maximize the Quality of Collaborative Work
HICSS '99 Proceedings of the Thirty-Second Annual Hawaii International Conference on System Sciences-Volume 1 - Volume 1
Think different: increasing online community participation using uniqueness and group dissimilarity
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
ACM SIGGROUP Bulletin
ACM Transactions on Computer-Human Interaction (TOCHI)
Social matching: A framework and research agenda
ACM Transactions on Computer-Human Interaction (TOCHI)
Accounting for taste: using profile similarity to improve recommender systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
SuggestBot: using intelligent task routing to help people find work in wikipedia
Proceedings of the 12th international conference on Intelligent user interfaces
Same places, same things, same people?: mining user similarity on social media
Proceedings of the 2010 ACM conference on Computer supported cooperative work
What to Tell About Me? Self-Presentation in Online Communities
Journal of Computer-Mediated Communication
Creating a model of the dynamics of socio-technical groups
User Modeling and User-Adapted Interaction
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Although the Internet provides powerful tools for social interactions, many tasks-for example, information-seeking-are undertaken as solitary activities. Information seekers are unaware of the invisible crowd traveling in parallel to their course through the information landscape. Social navigation systems attempt to make the invisible crowd visible, while social recommender systems try to introduce people directly. However, it is not clear whether users desire or will respond to social cues indicating the presence of other people when they are focused on a task. To investigate this issue, we created an online game-playing task and paired subjects to perform the task based on their responses to a short survey about demographics and interests. We studied how these factors influence task outcomes, the interaction process, and attitudes towards one's partner. We found that demographic similarity affected how people interact with each other, even though this information was not explicit, while similarities or differences in task-relevant interests did not. Our findings suggest guidelines for developing social recommender systems and show the need for further research into conditions that will help such systems succeed.