Search and information retrieval

Publication

Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation

Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie

SIGIR 2022 | July 2022

Publication

A flexible framework for offline effectiveness metrics

Alistair Moffat, Joel Mackenzie, Paul Thomas, Leif Azzopardi

2022 International ACM SIGIR Conference on Research and Development in Information Retrieval | July 2022

Publication

Are We There Yet? A Decision Framework for Replacing Term-Based Retrieval with Dense Retrieval Systems

Sebastian Hofstätter, Nick Craswell, Bhaskar Mitra, Hamed Zamani, Allan Hanbury

June 2022

Group

E+D

Add this tag to projects and papers that involve staff who are within the E+D org. The Experiences + Devices organization is a group within Microsoft primarily centered on 1st party hardware and Microsoft 365…

Publication

Causal Inference in the Presence of Interference in Sponsored Search Advertising

Razieh Nabi, Joel Pfeiffer, Denis Charles, Emre Kiciman

Frontiers in Big Data | June 2022, Vol 5

Project

KDD 2022 Tutorial on Large-Scale Information Extraction under Privacy-Aware Constraints

In this digital age, people spend a significant portion of their lives online and this has led to an explosion of personal data from users and their activities. Typically, this data is private and no-body…

Publication

DebiasGAN: Eliminating Position Bias in News Recommendation with Adversarial Learning

Chuhan Wu, Fangzhao Wu, Yongfeng Huang

EMNLP 2022 | June 2022

Publication

Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads

Chaozhuo Li, Bochen Pang, Yuming Liu, Jianxun Lian, Jianan Zhao, Hao Sun, Weiwei Deng, Xing Xie, Qi Zhang

KDD 2022 | June 2022

Group

STCA Semantics and Knowledge Team

The STCA Semantics and Knowledge Team at Microsoft STCA S+D Group advances research and innovation in areas such as information retrieval, natural language processing, and multimodal. Our mission is to empower every person and every…

Publication

Microsoft New Future of Work Report 2022

Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, Longqi Yang, Marcus Ash, Kagonya Awori, Mia Bruch, Piali Choudhury, Adam Coleman, Scott Counts, Shiraz Cupala, Mary Czerwinski, Ed Doran, Elizabeth Fetterolf, Mar Gonzalez Franco, Kunal Gupta, Aaron L Halfaker, Constance Hadley, Brian Houck, Kori Inkpen, Shamsi Iqbal, Eric Knudsen, Stacey Levine, Siân Lindley, Jennifer Neville, Jacki O'Neill, Rick Pollak, Victor Poznanski, Sean Rintel, Neha Parikh Shah, Siddharth Suri, Adam D. Troy, Mengting Wan

MSR-TR-2022-3 | May 2022

Published by Microsoft

Video Video Video Video Video Video Project Project Project Project

Search and information retrieval

On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots

Result Diversification in Search and Recommendation: A Survey

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

Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models

Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation

A flexible framework for offline effectiveness metrics

Are We There Yet? A Decision Framework for Replacing Term-Based Retrieval with Dense Retrieval Systems

E+D

Causal Inference in the Presence of Interference in Sponsored Search Advertising

KDD 2022 Tutorial on Large-Scale Information Extraction under Privacy-Aware Constraints

DebiasGAN: Eliminating Position Bias in News Recommendation with Adversarial Learning

Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads

STCA Semantics and Knowledge Team

Microsoft New Future of Work Report 2022

Search and information retrieval

Highlights