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

Learning Fair Node Representations with Graph Counterfactual Fairness

Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li

2022 Web Search and Data Mining | January 2022

Publication

Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation

Jiayan Guo, Yaming Yang, Xiangchen Song, Yuan Zhang, Yujing Wang, Jing Bai, Yan Zhang

2022 Web Search and Data Mining | January 2022

Project

Synthesis and Machine Learning for Heterogeneous Extraction

In this project, we present a way to combine techniques from the program synthesis and machine learning communities to extract structured information from heterogeneous data. Such problems arise in several situations such as extracting attributes…

Group

Shanghai AI/ML Group

The Shanghai AI/ML Group from MSRA Shanghai focuses on research areas related to machine learning and its application. For machine learning research, we are interested to fundamental deep learning techniques including neural network architecture design,…

Publication