Search and information retrieval

Exploring indexing and classification technologies, entity extraction, and user-experience concepts that help people organize and find information

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Microsoft Research Blog

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Cracking code-mixing — an important step in making human-computer interaction more engaging

Communication is a large part of who we are as human beings, and today, technology has allowed us to communicate in new ways and to audiences much larger and wider than ever before. That technology has assumed single-language speech, which — quite often — does not reflect the way people naturally speak. India, like many other parts of the world, is multilingual on a societal level with most people speaking two or more languages. I…

November 2018

Microsoft Research Blog

microsoft ability team stands in front of sign at university of texas at austin

Microsoft Ability Initiative: A collaborative quest to innovate in image captioning for people who are blind or with low vision

Microsoft is committed to pushing the boundaries of technology to improve and positively influence all parts of society. Recent advances in deep learning and related AI techniques have resulted in significant strides in automated image captioning. However, current image captioning systems are not well-aligned with the needs of a community that can benefit greatly from them: people who are blind or with low vision. We recently completed a competitive process to find an academic research…

January 2019

Microsoft Research Blog

Adversarial and reinforcement learning-based approaches to information retrieval

Traditionally, machine learning based approaches to information retrieval have taken the form of supervised learning-to-rank models. Recent advances in other machine learning approaches—such as adversarial learning and reinforcement learning—should find interesting new applications in future retrieval systems. At Microsoft AI & Research, we have been exploring some of these methods in the context of web search. We will share some of our recent work in this area at SIGIR 2018. This post briefly describes what…

July 2018

Microsoft Research Blog

Projects

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Renlifang/EntityCube

Established: July 31, 2008

EntityCube is a research prototype and is a test bed for exploring entity mining and search technologies, which automatically summarizes the Web for entities (such as people, locations and organizations) with a substantial presence. The need for collecting and understanding Web information about a real-world entity (such as a person or a product) is currently fulfilled manually through search engines. However, information about a single entity might appear in thousands of Web pages. Even if…

Trajectory Data Mining

Established: December 1, 2007

Background: Celiac disease, a common immune-based disease triggered by gluten, has diverse clinical manifestations, and the relative distribution of symptoms leading to diagnosis has not been well characterized in the population. Objective: This study aimed to use search engine data to identify a set of symptoms and conditions that would identify individuals at elevated likelihood of a […]

SigmaDolphin

Established: August 15, 2015

Building a computer system to automatically solve math word problems written in natural language. SigmaDolphin is a project initiated in early 2013 at Microsoft Research Asia, with the primary goal of building a computer intelligent system with natural language understanding and reasoning capacities. We focus on the application of automatic problem solving, i.e., automatically solving problems (especially math word problems) written in natural language. Motivation Computer programs can complete many tasks much more effectively and…

Products & Downloads

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Microsoft Information-Seeking Conversations (MISC) data set

April 2018

We introduce the Microsoft Information-Seeking Conversation data (MISC), a set of recordings of information-seeking conversations between human “seekers” and “intermediaries”. MISC includes audio and video signals; transcripts of conversation; affectual and physiological signals; recordings of search and other computer use; and post-task surveys on emotion, success, and effort.

LightLDA

October 2015

LightLDA is a distributed system for large scale topic modeling. It implements a distributed sampler that enables very large data sizes and models. LightLDA improves sampling throughput and convergence speed via a fast O(1) metropolis-Hastings algorithm, and allows small cluster to tackle very large data and model sizes through model scheduling and data parallelism architecture.…

Scalable Hyperlink Store

February 2014

The Scalable Hyperlink Store is a specialized “database” for the web graph. SHS maintains the web graph in main memory, distributed over many machines.

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Videos

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People

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Portrait of B. Ashok

B. Ashok

Senior Director of Applied Sciences and Engineering

Groups

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Knowledge Technologies and Intelligent Experiences (KTX)

Knowledge Technologies and Intelligent Experiences (KTX) develops new AI technologies and AI-powered user experiences that enable individuals, teams, and enterprises to achieve more. We perform research and advanced development on projects that make and utilize progress in areas such as machine learning, natural language processing, knowledge extraction and representation, human-computer interaction and collaboration, data mining (including text mining), search, and digital assistants. We collaborate extensively with colleagues at Microsoft and beyond to build more intelligent…

Social Media Collective

Over the last decade, social media has become a vital tool for our engagement with the people who matter to us, the work we do, and with the wider public world. From email to Facebook, mobile phones to Twitter, people now use a vast array of social technologies as part of their everyday lives and practices. Our primary purpose is to provide a rich contextual understanding of the social and cultural dynamics that underpin these…

Cryptography, Security, and Applied Mathematics

The Cryptography, Security, and Applied Mathematics (CSAM) group conducts research on theoretical and practical aspects of cryptography, computational complexity, formal approaches to system and software security, data mining and machine learning with applications to security, and number theory.

Career Opportunities

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Research SDE – MSRA Beijing

Type: Research engineer
Lab/Location: Microsoft Research Lab - Asia
Research Area: Multiple

Microsoft Research Asia, Microsoft’s fundamental research arm in the Asia Pacific region, was founded in 1998 in Beijing. By attracting the best talent from Asia and across the globe, Microsoft Research Asia has grown into a world-class research lab that constantly pushes forward the state of the art and helps to improve people’s computing experiences. Today, with more than 200 researchers and developers and more than 300 visiting scientists and students, the lab conducts basic…

Associate Researcher – MSRA Beijing

Type: Full-time researcher
Lab/Location: Microsoft Research Lab - Asia
Research Area: Multiple

Microsoft Research Asia, Microsoft’s fundamental research arm in the Asia Pacific region, was founded in 1998 in Beijing. By attracting the best talent from Asia and across the globe, Microsoft Research Asia has grown into a world-class research lab that constantly pushes forward the state of the art and helps to improve people’s computing experiences. Today, with more than 200 researchers and developers and more than 300 visiting scientists and students, the lab conducts basic…

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