Event Scheduled for Jan 24, 2013
Event: CSE Yisong Yu Research
Location: ITE 336
Time: 12:45 pm
Details of Event:
Learning with Humans in the Loop
Making sense of digital information is a growing problem in almost every domain, ranging from scientists needing to stay current with new research, to companies aiming to provide the best service for their customers. What is common to such "Big Data" problems is not only the scale of the data, but also the complexity of the human processes that continuously interact with digital environments and generate new data.
Focusing on learning problems that arise in retrieval and recommender systems, I will show how we can develop principled approaches that explicitly model the process of continuously learning with humans in the loop while improving system utility. As one example, I will present the linear submodular bandits problem, which jointly addresses the challenges of selecting optimally diversified recommendations and balancing the exploration/exploitation tradeoff when personalizing via user feedback. More generally, I will show how to integrate the collection of training data with the user's use of the system in a variety of applications, ranging from long-term optimization of personalized recommender systems to disambiguation within a single search session.
Target Audience: Open to All
Sponsored By: Computer Science and Engineering
No Pamphlet/Flyer Available