An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Content-based book recommending using learning for text categorization
DL '00 Proceedings of the fifth ACM conference on Digital libraries
Explaining collaborative filtering recommendations
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
Proceedings of the 6th international conference on Intelligent user interfaces
Learning Collaborative Information Filters
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Accounting for taste: using profile similarity to improve recommender systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Personalized recommendation driven by information flow
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
FeedMe: a collaborative alert filtering system
CSCW '06 Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work
SuggestBot: using intelligent task routing to help people find work in wikipedia
Proceedings of the 12th international conference on Intelligent user interfaces
Talk amongst yourselves: inviting users to participate in online conversations
Proceedings of the 12th international conference on Intelligent user interfaces
A familiar face(book): profile elements as signals in an online social network
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Socially augmenting employee profiles with people-tagging
Proceedings of the 20th annual ACM symposium on User interface software and technology
Toward the exploitation of social access patterns for recommendation
Proceedings of the 2007 ACM conference on Recommender systems
Recommendations in taste related domains: collaborative filtering vs. social filtering
Proceedings of the 2007 international ACM conference on Supporting group work
Harvesting with SONAR: the value of aggregating social network information
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Use and reuse of shared lists as a social content type
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
It's all 'about you': diversity in online profiles
Proceedings of the 2008 ACM conference on Computer supported cooperative work
Syskill & webert: Identifying interesting web sites
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Generating predictive movie recommendations from trust in social networks
iTrust'06 Proceedings of the 4th international conference on Trust Management
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
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
The 3A contextual ranking system: simultaneously recommending actors, assets, and group activities
Proceedings of the third ACM conference on Recommender systems
Inspired by the audience: a topic suggestion system for blog writers and readers
Proceedings of the 2010 ACM conference on Computer supported cooperative work
Short and tweet: experiments on recommending content from information streams
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Lessons learned from blog muse: audience-based inspiration for bloggers
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Recommending twitter users to follow using content and collaborative filtering approaches
Proceedings of the fourth ACM conference on Recommender systems
The design and usage of tentative events for time-based social coordination in the enterprise
Proceedings of the 20th international conference on World wide web
An open, social microcalender for the enterprise: timely?
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The tradeoffs of societal computing
Proceedings of the 10th SIGPLAN symposium on New ideas, new paradigms, and reflections on programming and software
Discovering unknown but interesting items on personal social network
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
Social referral: leveraging network connections to deliver recommendations
Proceedings of the sixth ACM conference on Recommender systems
Signal-based user recommendation on twitter
Proceedings of the 22nd international conference on World Wide Web companion
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Traditional social networking sites allow users to enter responses to a set of predefined fields when populating their personal profiles. In the system discussed in this work, freeform 'About You' entries allow users to craft their own questions / topics. We found that this kind of flexibility often leads to low content contributions and infrequent updates. The 'About You' recommender system described in this paper differs from many recommender systems in that it recommends content for users to create, rather than consume. We present empirical data from an experiment with 2,000 users of a social networking site during a one month period. Our findings suggest that users who receive recommendations create more entries and update them more over time. Further, using articulated social network information for recommendations performed better than content-based matching.