An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Getting to know you: learning new user preferences in recommender systems
Proceedings of the 7th international conference on Intelligent user interfaces
Evaluating similarity measures: a large-scale study in the orkut social network
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Talk amongst yourselves: inviting users to participate in online conversations
Proceedings of the 12th international conference on Intelligent user interfaces
Recommendations in taste related domains: collaborative filtering vs. social filtering
Proceedings of the 2007 international ACM conference on Supporting group work
Results from deploying a participation incentive mechanism within the enterprise
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
Recommending topics for self-descriptions in online user profiles
Proceedings of the 2008 ACM conference on Recommender systems
Crafting the initial user experience to achieve community goals
Proceedings of the 2008 ACM conference on Recommender systems
It's all 'about you': diversity in online profiles
Proceedings of the 2008 ACM conference on Computer supported cooperative work
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
Make new friends, but keep the old: recommending people on social networking sites
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Feed me: motivating newcomer contribution in social network sites
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Social visualization encouraging participation in online communities
CRIWG'06 Proceedings of the 12th international conference on Groupware: design, implementation, and use
Social media recommendation based on people and tags
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Modeling social media support for the elicitation of citizen opinion
Proceedings of the International Workshop on Modeling Social Media
Global budgets for local recommendations
Proceedings of the fourth ACM conference on Recommender systems
Recommending twitter users to follow using content and collaborative filtering approaches
Proceedings of the fourth ACM conference on Recommender systems
RECON: a reciprocal recommender for online dating
Proceedings of the fourth ACM conference on Recommender systems
The network effects of recommending social connections
Proceedings of the fourth ACM conference on Recommender systems
Do you want to know?: recommending strangers in the enterprise
Proceedings of the ACM 2011 conference on Computer supported cooperative work
Intentional modeling of social media design knowledge for government-citizen communication
MSM'10/MUSE'10 Proceedings of the 2010 international conference on Analysis of social media and ubiquitous data
Personalized activity streams: sifting through the "river of news"
Proceedings of the fifth ACM conference on Recommender systems
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
Collaborative Filtering Recommender Systems
Foundations and Trends in Human-Computer Interaction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Signal-based user recommendation on twitter
Proceedings of the 22nd international conference on World Wide Web companion
Community-based user recommendation in uni-directional social networks
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
User Modeling and User-Adapted Interaction
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Social network sites rely on the contributions of their members to create a lively and enjoyable space. Recent research has focused on using personalization and recommender technologies to encourage participation of existing members. In this work we present an early-intervention approach to encouraging participation and engagement, which makes recommendations to new users during their sign-up process. Our recommender system exploits external social media to produce people and profile entry recommendations for new users. We present results of a live user study, showing that users who received recommendations at sign-up created more social connections, contributed more content, and were on the whole more engaged with the system, contributing more without prompt and returning more often. We further show that recommendations for multiple content types yield significantly better results, in terms of user contribution and consumption; and that recommendations of more active users yield a higher return rate.