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

Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation

Xinyan Fan, Zheng Liu, Jianxun Lian, Wayne Xin Zhao, Xing Xie, Ji-Rong Wen

SIGIR 2021 short paper | July 2021

Publication

Neural Methods for Effective, Efficient, and Exposure-Aware Information Retrieval (Dissertation Abstract)

Bhaskar Mitra

SIGIR Forum | July 2021, Vol 55(1)

Publication

Self-supervised Graph Learning for Recommendation

Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie

SIGIR 2021 | July 2021

Publication

Joint Knowledge Pruning and Recurrent Graph Convolution for News Recommendation

Yu Tian, Yuhao Yang, Xudong Ren, Pengfei Wang, Fangzhao Wu, Qian Wang, Chenliang Li

44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’21) | July 2021

Publication

Personalized News Recommendation with Knowledge-aware Interactive Matching

Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang

SIGIR 2021 | July 2021

Podcast

New Future of Work: Meeting and collaborating in a remote and hybrid world with Jaime Teevan and Abigail Sellen

June 30, 2021

In this episode of The New Future of Work series of the podcast, Chief Scientist Jaime Teevan and Abigail Sellen, Deputy Lab Director at Microsoft Research Cambridge in the United Kingdom, explore the dynamics of…

Podcast

New Future of Work: Driving innovation via cross-company research with Jaime Teevan and Brent Hecht

June 24, 2021

In this episode of The New Future of Work series of the podcast, Chief Scientist Jaime Teevan and Director of Applied Science Brent Hecht of the Experiences and Devices group in Microsoft share how an…

Project

Modular and Efficient KBQA

Neural semantic parsing framework for modular and efficient large scale knowledge base question answering (KBQA). Source code and Data for a system demo at ACL 2021 are available on GitHub. Contributions and collaboration are very…

Publication

Pivot-Based Candidate Retrieval for Cross-lingual Entity Linking

Qian Liu, Xiubo Geng, Jie Lu, Daxin Jiang (姜大昕)

2021 The Web Conference | June 2021

Publication

Report on the future conversations workshop at CHIIR 2021

Damiano Spina, Johanne R Trippas, Paul Thomas, Hideo Joho, Katriina Byström, Leigh Clark, Nick Craswell, Mary Czerwinski, David Elsweiler, Alexander Frummet, Souvick Ghosh, Johannes Kiesel, Irene Lopatovska, Daniel McDuff, Selina Meyer, Ahmed Mourad, Paul Owoicho, Sachin Pathiyan Cherumanal, Daniel Russell, Laurianne Sitbon

SIGIR Forum | June 2021, Vol 55(1): pp. 1-22

Search and information retrieval

Highlights