On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
Machine Learning - Special issue on learning with probabilistic representations
Machine Learning
Proceedings of the 8th international conference on Intelligent user interfaces
Unpacking "privacy" for a networked world
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Personal privacy through understanding and action: five pitfalls for designers
Personal and Ubiquitous Computing
A study of preferences for sharing and privacy
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Information revelation and privacy in online social networks
Proceedings of the 2005 ACM workshop on Privacy in the electronic society
User experiences with sharing and access control
CHI '06 Extended Abstracts on Human Factors in Computing Systems
What Anyone Can Know: The Privacy Risks of Social Networking Sites
IEEE Security and Privacy
An interactive algorithm for asking and incorporating feature feedback into support vector machines
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
CueFlik: interactive concept learning in image search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Access control by testing for shared knowledge
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Personalized interactive faceted search
Proceedings of the 17th international conference on World Wide Web
Predicting tie strength with social media
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the 5th Symposium on Usable Privacy and Security
Overview based example selection in end user interactive concept learning
Proceedings of the 22nd annual ACM symposium on User interface software and technology
Topic and role discovery in social networks with experiments on enron and academic email
Journal of Artificial Intelligence Research
Active learning by labeling features
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Enhancing directed content sharing on the web
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Privacy wizards for social networking sites
Proceedings of the 19th international conference on World wide web
Facetedpedia: dynamic generation of query-dependent faceted interfaces for wikipedia
Proceedings of the 19th international conference on World wide web
Faceted exploration of image search results
Proceedings of the 19th international conference on World wide web
Suggesting friends using the implicit social graph
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Feasibility of structural network clustering for group-based privacy control in social networks
Proceedings of the Sixth Symposium on Usable Privacy and Security
Creating collections with automatic suggestions and example-based refinement
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
Groups without tears: mining social topologies from email
Proceedings of the 16th international conference on Intelligent user interfaces
End-user feature labeling: a locally-weighted regression approach
Proceedings of the 16th international conference on Intelligent user interfaces
The aligned rank transform for nonparametric factorial analyses using only anova procedures
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
The PViz comprehension tool for social network privacy settings
Proceedings of the Eighth Symposium on Usable Privacy and Security
Directed social queries with transparent user models
Adjunct proceedings of the 25th annual ACM symposium on User interface software and technology
The post that wasn't: exploring self-censorship on facebook
Proceedings of the 2013 conference on Computer supported cooperative work
Evolving friend lists in social networks
Proceedings of the 7th ACM conference on Recommender systems
Personalized collaborative clustering
Proceedings of the 23rd international conference on World wide web
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We present ReGroup, a novel end-user interactive machine learning system for helping people create custom, on demand groups in online social networks. As a person adds members to a group, ReGroup iteratively learns a probabilistic model of group membership specific to that group. ReGroup then uses its currently learned model to suggest additional members and group characteristics for filtering. Our evaluation shows that ReGroup is effective for helping people create large and varied groups, whereas traditional methods (searching by name or selecting from an alphabetical list) are better suited for small groups whose members can be easily recalled by name. By facilitating on demand group creation, ReGroup can enable in-context sharing and potentially encourage better online privacy practices. In addition, applying interactive machine learning to social network group creation introduces several challenges for designing effective end-user interaction with machine learning. We identify these challenges and discuss how we address them in ReGroup.