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

Current selections

Sort by: Most recent

Clear selections

Event

Microsoft at KDD 2019

August 4, 2019 – August 8, 2019 | Anchorage, Alaska

Microsoft is excited to be a Bronze sponsor of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. We will have over 30 Microsoft attendees present at the conference. Stop by our booth…

sun setting over mountain ranges in Anchorage, Alaska

Publication

Contextual Fact Ranking and Its Applications in Table Synthesis and Compression

Silu Huang , Jialu Liu, Flip Korn, Xuezhi Wang, You Wu, Dale Markowitz, Cong Yu

25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING | August 2019

Publication

λOpt: Learn to Regularize Recommender Models in Finer Levels

Yihong Chen, Bei Chen, Xiangnan He, Chen Gao, Yong Li, Jian-Guang Lou, Yue Wang

SigKDD19 | August 2019

Publication

Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems

Xiao Zhou, Danyang Liu, Jianxun Lian, Xing Xie

International Joint Conferences on Artificial Intelligence (IJCAI) | August 2019

Publication

Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation

Zeping Yu, Jianxun Lian, Ahmad Mahmoody, Gongshen Liu, Xing Xie

International Joint Conferences on Artificial Intelligence (IJCAI) | August 2019

Publication

ProNE: Fast and Scalable Network Representation Learning

Jie Zhang, Yuxiao Dong, Yan Wang, Jie Tang, Ming Ding

International Joint Conference on Artificial Intelligence (IJCAI) | August 2019

Project

Publication

OAG: Toward Linking Large-scale Heterogeneous Entity Graphs

Fanjin Zhang, Xiao Liu, Jie Tang, Yuxiao Dong, Peiran Yao, Jie Zhang, Xiaotao Gu, Yan Wang, Bin Shao, Rui Li, Kuansan Wang

ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) | August 2019

Project Project

Publication

Ranking Passages for Argument Convincingness

Peter Potash, Adam Ferguson, T. J. Hazen

6th Workshop on Argument Mining | August 2019

Publication

Contextual Fact Ranking and Its Applications in Table Synthesis and Compression

Silu Huang, Jialu Liu, Flip Korn, Xuezhi Wang, You Wu, Dale Markowitz, Cong Yu

25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (KDD) | August 2019

Video

Optimizing Declarative Graph Queries at Large Scale

July 24, 2019 | Qizhen Zhang

This paper presents GraphRex, an efficient, robust, scalable, and easy-to-program framework for graph processing on datacenter infrastructure. To users, GraphRex presents a declarative, Datalog-like interface that is natural and expressive. Underneath, it compiles those queries…

Qizhen Zhang giving a talk on Optimizing Declarative Graph Queries at Large Scale at Microsoft Research

0:22:34

Your Privacy Choices

Search and information retrieval

Highlights