Information-based objective functions for active data selection
Neural Computation
Experience with a learning personal assistant
Communications of the ACM
Artificial Intelligence - Special volume on planning and scheduling
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Learning User Evaluation Functions for Adaptive Scheduling Assistance
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
Learning Subjective Functions with Large Margins
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Support Vector Machine Active Learning with Application sto Text Classification
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
Adaptive problem-solving for large-scale scheduling problems: a case study
Journal of Artificial Intelligence Research
A reinforcement learning approach to job-shop scheduling
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Preference elicitation for interface optimization
Proceedings of the 18th annual ACM symposium on User interface software and technology
groupTime: preference based group scheduling
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Deploying a personalized time management agent
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Simulating users to support the design of activity management systems
WSC '05 Proceedings of the 37th conference on Winter simulation
Entropy-Driven online active learning for interactive calendar management
Proceedings of the 12th international conference on Intelligent user interfaces
Scheduling meetings through multi-agent negotiations
Decision Support Systems
Recognizing and using goals in event management
CHI '09 Extended Abstracts on Human Factors in Computing Systems
Decision-theoretic user interface generation
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
An adaptive calendar assistant using pattern mining for user preference modelling
Proceedings of the 15th international conference on Intelligent user interfaces
Preference learning for cognitive modeling: a case study on entertainment preferences
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Task-centred information management
DELOS'07 Proceedings of the 1st international conference on Digital libraries: research and development
Kairoscope: managing time perception and scheduling through social event coordination
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
PTIME: Personalized assistance for calendaring
ACM Transactions on Intelligent Systems and Technology (TIST)
Intelligent pairing assistant for air operation centers
Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
Efficiently learning the preferences of people
Machine Learning
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We present PLIANT, a learning system that supports adaptive assistance in an open calendaring system. PLIANT learns user preferences from the feedback that naturally occurs during interactive scheduling. It contributes a novel application of active learning in a domain where the choice of candidate schedules to present to the user must balance usefulness to the learning module with immediate benefit to the user. Our experimental results provide evidence of PLIANT's ability to learn user preferences under various conditions and reveal the tradeoffs made by the different active learning selection strategies.