illustration of magnifying glass over top of a search bar and lines of content on a green gradient background

Search and information retrieval

two sets of chat boxes with likes and dislikes

On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots

Result Diversification in Search and Recommendation: A Survey

ICRA 2024 conference recap blog - RASCAL library

RASCAL: Novel robotics for scalable and highly available automated storage and retrieval

Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models

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Publication

Understanding and Improving Web Search Using Large-Scale Observations and Experiments

Susan Dumais

May 2014

APS (Association for Psychological Science) Invited Session on Big Data

Publication

Toward Enhanced Pharmacovigilance Using Patient-Generated Data on the Internet

Ryen W. White, R Harpaz, W DuMouchel, Eric Horvitz

Clinical Pharmacology & Therapeutics | May 2014

Group

Algorithms and Data Sciences

“Big Data” is currently an explosive phenomenon, triggered by proliferation of data in ever increasing volumes, rates, and variety. The Big Data revolution changes the perspective of many research areas in how they address both…

Publication

Deep Learning for Natural Language Processing and Related Applications (Tutorial at ICASSP)

Xiaodong He, Jianfeng Gao, Li Deng

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) | May 2014

Publication

Searching for Myself: Motivations and Strategies for Self-Search

Cathy Marshall, Siân Lindley

Proceedings of CHI 2014 | May 2014

Project

Publication

Selfsourcing Personal Tasks

Dan Liebling, Jaime Teevan, Walter S. Lasecki

Proceedings of CHI 2014 | April 2014

Video

Beyond voice recognition: Windows Phone’s Cortana anticipates your needs

April 17, 2014 | Andreas Stolcke, Dilek Hakkani-Tür, Larry Heck, Malcolm Slaney

Cortana, the world’s first truly personal digital assistant, is available soon on Windows Phone 8.1. Powered by Bing, Cortana is driven by state-of-the-art algorithms using natural language, machine learning, and contextual signals that benefit from…