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Eliciting Worker Preference for Task Completion
In this work, we believe that asking workers to indicate their preferences explicitly improve their experience in task completion and hence, the quality of their contributions.
Feature Based Task Recommendation in Crowdsourcing with Implicit Observations
Existing research in crowdsourcing has investigated how to recommend tasks to workers based on which task the workers have already completed, referred to as {\em implicit feedback}.
Predicting Risk-of-Readmission for Congestive Heart Failure Patients: A Multi-Layer Approach
We first split the problem into various stages, (a) at risk in general (b) risk within 60 days (c) risk within 30 days, and then build suitable classifiers for each stage, thereby increasing the ability to accurately predict the risk using multiple layers of decision.
