Explaining collaborative filtering recommendations
CSCW '00 Proceedings of the 2000 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
The familiar stranger: anxiety, comfort, and play in public places
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
People-to-People-to-Geographical-Places: The P3 Framework for Location-Based Community Systems
Computer Supported Cooperative Work
Incorporating physical co-presence at events into digital social networking
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Social Serendipity: Mobilizing Social Software
IEEE Pervasive Computing
Social matching: A framework and research agenda
ACM Transactions on Computer-Human Interaction (TOCHI)
Group formation in large social networks: membership, growth, and evolution
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
WMR--A Graph-Based Algorithm for Friend Recommendation
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Utilizing Physical and Social Context to Improve Recommender Systems
WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
Harvesting with SONAR: the value of aggregating social network information
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Feature weighting in content based recommendation system using social network analysis
Proceedings of the 17th international conference on World Wide Web
Make new friends, but keep the old: recommending people on social networking sites
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Predicting tie strength with social media
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Personalized Context-Aware Recommendations in SMARTMUSEUM: Combining Semantics with Statistics
SEMAPRO '09 Proceedings of the 2009 Third International Conference on Advances in Semantic Processing
Personalized recommendation of social software items based on social relations
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
Find me if you can: improving geographical prediction with social and spatial proximity
Proceedings of the 19th international conference on World wide web
PYMK: friend recommendation at myspace
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Bridging the gap between physical location and online social networks
Proceedings of the 12th ACM international conference on Ubiquitous computing
Using cohesive subgroups for analyzing the evolution of the friend view mobile social network
UIC'10 Proceedings of the 7th international conference on Ubiquitous intelligence and computing
Managing workplace resources in office environments through ephemeral social networks
UIC'10 Proceedings of the 7th international conference on Ubiquitous intelligence and computing
Social dynamics in conferences: analyses of data from the live social semantics application
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part II
Do you want to know?: recommending strangers in the enterprise
Proceedings of the ACM 2011 conference on Computer supported cooperative work
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
Using Proximity and Homophily to Connect Conference Attendees in a Mobile Social Network
ICDCSW '12 Proceedings of the 2012 32nd International Conference on Distributed Computing Systems Workshops
GREENCOM '12 Proceedings of the 2012 IEEE International Conference on Green Computing and Communications
Geographical and organizational distances in enterprise crowdfunding
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
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We receive many recommendations of friends in online social networks such as Facebook and LinkedIn. These friend recommendations are based usually on common friends or similar profile such as having the same interest or coming from the same company, a trait known as homophily. However, many times people do not know why they should add this friend. Should I add this friend because we met from a conference and if so, what conference? Existing friend recommendation systems cannot answer this question easily. In this paper, we create a friend recommendation system using proximity and homophily, that we conduct in the workplace and conference. Besides common friends and common interests (homophily features), we also include encounters and meetings (proximity features) and messages sent and question and answer posts (social interaction features) as reasons for adding this person as a friend. We conduct a user study to examine whether our friend recommendation is better than common friends. Results show that on average, our algorithm recommends more friends to participants that they add and more recommendations are ranked as good, compared with the common friend algorithm. In addition, people add friends due to having encountered them before in real life. The results can be used to help design context-aware recommendations in physical environments and in online social networks.