Email overload: exploring personal information management of email
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Automated message prioritization: making voicemail retrieval more efficient
CHI '02 Extended Abstracts on Human Factors in Computing Systems
Attuning notification design to user goals and attention costs
Communications of the ACM
Taking email to task: the design and evaluation of a task management centered email tool
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The Evolution of the Web and Implications for an Incremental Crawler
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
A diary study of task switching and interruptions
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
One-hundred days in an activity-centric collaboration environment based on shared objects
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
TaskTracer: a desktop environment to support multi-tasking knowledge workers
Proceedings of the 10th international conference on Intelligent user interfaces
Ranking definitions with supervised learning methods
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
On the collective classification of email "speech acts"
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Unified activity management: supporting people in e-business
Communications of the ACM - The semantic e-business vision
Learning to rank using gradient descent
ICML '05 Proceedings of the 22nd international conference on Machine learning
Automatically classifying emails into activities
Proceedings of the 11th international conference on Intelligent user interfaces
Dogear: Social bookmarking in the enterprise
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Improving web search ranking by incorporating user behavior information
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Adapting ranking SVM to document retrieval
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
Activity explorer: activity-centric collaboration from research to product
IBM Systems Journal
Malibu personal productivity assistant
CHI '07 Extended Abstracts on Human Factors in Computing Systems
Managing currents of work: multi-tasking among multiple collaborations
ECSCW'05 Proceedings of the ninth conference on European Conference on Computer Supported Cooperative Work
Extracting knowledge about users' activities from raw workstation contents
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
Collaborative workflow assistant for organizational effectiveness
Proceedings of the 2009 ACM symposium on Applied Computing
The 3A contextual ranking system: simultaneously recommending actors, assets, and group activities
Proceedings of the third ACM conference on Recommender systems
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Activity-centric collaboration environments help knowledge workers to manage the context of their shared work activities by providing a representation for an activity and its resources. Activity management systems provide more structure and organization than email to execute the shared activity but, as the number of shared activities increases, it becomes more and more difficult for users to focus on important activities that need their attention. This paper describes a personalized activity prioritization approach implemented on top of the Lotus Connections Activities management system. Our prototype implementation allows each user to view activities ordered by her/his predicted priorities. The predictions are made using a ranking Support Vector Machine model trained with the user's past interactions with the activities system. We describe the prioritization interface and the results of an offline experiment based on data from 13 users over 6-months. Our results show that our feature set derived from shared activity structures can significantly increase prediction accuracy compared to a recency baseline.