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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Getting LinkedIn to Data Science with Dr. Igor Perisic

Episode 11, February 7, 2018 – Big data is a big deal, and if you follow the popular technical press, you’ll have heard all the metaphors: data is the new oil, the new bacon, the new currency, the new electricity. It’s even been called the new black. While data may not actually be any of these things, we can say this: in today’s networked world, data is increasingly valuable, and it is essential to research,…

February 2018

Microsoft Research Blog

Microsoft Research Dissertation Grant Program

New Microsoft Research Dissertation Grant provides support to under-represented groups in computing

By Dr. Meredith Ringel Morris, Principal Researcher, Microsoft Research I am pleased to announce that Microsoft Research is funding a new academic program, the Microsoft Research Dissertation Grant. This grant program offers selected doctoral students doing computing research at U.S. and Canadian universities up to US $20,000 to fund their dissertation work. This program is open to students currently under-represented in the technology sector, including women, people with disabilities, and people who are African-American/Black, Hispanic/Latino,…

March 2017

Microsoft Research Blog

Preliminary KDD Cup 2016 third phase and overall results announced

By Alex Wade, Principal Program Manager, Microsoft Research The preliminary results are in for the third and final round of the $10,000 KDD Cup 2016, and it was a squeaker!  The top ten finalists, out of a field of 3,773 submissions from 554 teams, were separated by only .01 points. Their task? To rank research institutions by influence, based on their predictions of the number of papers that would be accepted to top conferences in…

July 2016

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

Researchers in Machine Learning (ML) are harnessing the explosion of digital data and computational power with advanced algorithms to externalize human expertise into functions called models. These ML models can be very powerful, yet laborious to create. While a large segment of the ML community focuses on creating new algorithms to extract knowledge from a […]

Query Result Navigation

Established: January 9, 2014

Exploratory queries on a database often returns too few or too many results (e.g., a home search query on a database of available homes). In such cases, the user faces the challenges of (i) navigating through too many results and/or (ii) refining the query. This project focuses on innovative ways to help the user when the face the above challenges. Specifically, we explored two ways to help the user. First, to rank the query results…

Publications

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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.

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.

Size: 1 MB

Tie-Aware Information-Retrieval Performance Measures

May 2007

A collection of short programs to compute standard information-retrieval performance measures—Recall, Precision, F-measure, Mean Average Precision, Mean Reciprocal Rank, Normalized Discounted Cumulative Gain—in the presence of tied scores.

Size: 16 KB

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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Web and AI Sciences

We are a team of applied scientists within Bing's Web Search and Artificial Intelligence development group. Our goal is to focus on the fundamentals of Information Retrieval (IR) and Machine Learning (ML), and to introduce new ideas and methods in Bing and other Microsoft products powered by key breakthroughs in these areas. We contribute to the state of the art via scientific publication and patents, some of which is done in collaboration with Microsoft Research, and…

Social Computing

Groups doing social computing research include: FUSE Labs NeXus CLUES Social Media Collective Computer-Mediated Living

Big Data Mining (BDM)

The Big Data Mining Group aims to build web-scale knowledge graphs about real-world entities and concepts from big data to enable artificial intelligence applications with knowledge reasoning and natural language understanding. Research of the Big Data Mining Group at Microsoft spans a wide variety of topics including data mining, big data, deep learning, natural language processing, intelligent agents, and crowd-sourcing.

Career Opportunities

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Research Intern – Network Representation Learning

Type: Internship
Research Area: Search and information retrieval

Microsoft Academic in Microsoft Research is an elite team of researchers and engineers working on algorithms, tools, and experiences around Internet and AI technologies. The intern project will focus on representation learning for a billion-scale heterogeneous entity and text graph. We’re looking for someone who has a strong background in data mining, natural language processing, and machine learning, and is passionate about working on hard problems with some of the best talent in the world.…

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…

Research Intern – Human-AI Collaboration

Type: Internship
Lab/Location: Microsoft Research AI - Redmond
Research Area: Multiple

The Adaptive Systems and Interaction group at Microsoft Research AI pursues advances in principles of intelligence and interaction and applications of these advances to continuously improve computational systems. The team includes groups exploring foundations of sensing, learning, and decision making, search and retrieval, and human-computer interaction. The main focus of the internship project is building algorithmic methods that will facilitate the process of creating machine learning models and systems which can collaborate better with people. Currently, there is a…

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