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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

Annotation for Free: Video Tagging by Mining User Search Behavior

Ting Yao, Tao Mei, Chong-Wah Ngo, Shipeng Li

ACM Multimedia | October 2013

Publication

Automatic Generation of Social Media Snippets for Mobile Browsing

Wenyuan Yin, Tao Mei, Chang Wen Chen

ACM Multimedia | October 2013

Publication

Understanding How People Interact with Web Search Results that Change in Real-Time Using Implicit Feedback

Jin Young Kim, Mark Cramer, Jaime Teevan, Dmitry Lagun

CIKM 2013 | October 2013

Publication

b-Bit Minwise Hashing in Practice

Ping Li, Anshumali Shrivastava, Arnd Christian König

Proceedings of the 5th Asia-Pacific Symposium on Internetware | October 2013

Publication

Content Coverage Maximization on Word Networks for Hierarchical Topic Summarization

Chi Wang, Xiao Yu, Yanen Li, Chengxiang Zhai, Jiawei Han

Proceeding of 2013 ACM Conference on Information and Knowledge Management | October 2013

Publication

Studying from Electronic Textbooks

Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi

International Conference on Information and Knowledge Management (CIKM) | October 2013

Publication

Learning Deep Structured Semantic Models for Web Search using Clickthrough Data

Po-Sen Huang, Xiaodong He, Jianfeng Gao, Li Deng, Alex Acero, Larry Heck

October 2013

Project

Publication

Identifying Web Search Query Reformulation using Concept based Matching

Ahmed Awadallah

October 2013

Project

Algorithmic Crowdsourcing

To build a machine learning based intelligent system, we often need to collect training labels and feed them into the system. A useful lesson in machine learning is that “more data beats a clever algorithm”.…

Publication

When Overweight Is the Normal Weight: An Examination of Obesity Using a Social Media Internet Database

Meghan Kuebler, Elad Yom-Tov, Dan Pelleg, Rebecca M Puhl, Peter Muennig

PLoS One | September 2013

Project

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