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Our research
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Labs
Research areas
Algorithms and theory47205 (81)
Communication and collaboration47188 (101)
Computational linguistics47189 (44)
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Computer systems and networking47191 (273)
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Speech recognition, synthesis, and dialog systems208599 (7)
Technology for emerging markets208600 (3)
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This project aims to understand and characterize user behavior in online social networks. Specifically, we posit, analyze, and validate different models of formation and evolution of opinions in social networks. We characterize our models both in terms of stability and goodness in terms of an approximation ratio w.r.t. to a social optimum (e.g., Price of Anarchy, Price of Stability etc).
Project details
Labs: Redmond
Research around information aggregation and prediction, including polls, probability elicitation, and prediction markets.These methods, broadly defined as wisdom of the crowds, are utilized for a range of outcomes: elections, marketing, internal corporate, military intelligence, etc. We demonstrate some serious advances. (1) Combinatorial Prediction Markets: frontend, backened, and unique questions. (2) Experimental Prediction Markets and Polling. (3) Forecasts, Sentiment, and Data Analytics
Project details
Labs: New York
We introduced a game-theoretic framework for crowdsourcing systems.
Project details
Labs: Cambridge
The goal of this project is to build a platform for research in behavioural game theory on social networking sites which will enable experiments of unprecedented scale, resolution, interactivity and social embedding. We aim at testing the behaviour of real people in game theoretic interactions in social networks. How do people negotiate with one another? How can we aggregate opinions of individuals to arrive at high-quality decisions? In what ways do people reciprocate other people’s actions?
Project details
Labs: Cambridge
This project examines a range of mobile phone-based banking and payment solutions across countries, understanding the usability of m-banking systems by low-literate clients, the security of financial transactions conducted over low-end phones, as well as the social and economic context and impact of the new channel on low-income households.
Project details
Labs: India
Ranking plays a critical role in both Web search and sponsored search. In sponsored search, the problem is even more complex and challenging because we need to consider multiple factors during the ranking process.
Project details
Labs: Asia
Project details
Labs: Cambridge
How do households transition from one level of social and economic well-being to another, both within and across generations? What characterises high upward mobility from disadvantaged conditions?
Project details
Labs: India
Kelsa+ is a program that offers the low-income service staff in modern offices Internet-connected PCs for free, unrestricted use during their off-duty hours. This project assesses how such a program affects workers' self-esteem, basic digital literacy, English proficiency, and career opportunities.
Project details
Labs: India
This project involves investigating ways in which the use of technological solutions to enable various aspects of financial service delivery can result in more cost-effective and scalable operations for providers, and cheaper, better quality finance for the poor.
Project details
Labs: India
Trust is the lubricant of both game and business online transactions. Good reputation boosts trust, but it can be compromised by unreliable feedback. We use probabilistic models to accurately learn about people's reputation, and improve trust.
Project details
Labs: Cambridge
If the idea of constructing family is one theme, then another is the converse: the idea that domestic spaces might be socially and technologically fractionated in ways that people desire. Hence research in this theme is looking at how ‘domestic’ or private settings may be constituted by connections to other places and people and in other cases by partitionings and separations of places and people.
Project details
Labs: Cambridge
Here research is examining how the ‘idea of family’ can be a sociological topic and a design orientation leading to technical innovation and new user experiences. Various research activities are seeking ways of capturing traces of family activity, assembling and creating new representations of these activities, as well as inventing new ways to interact with and display those traces.
Project details
Labs: Cambridge
Businesses with five or fewer employees, called micro-enterprises, support many rural and urban households in developing nations. Microsoft Research India is conducting qualitative and quantitative research to explore the overall information and communication behaviors of micro-enterprises. The main research in India has included a photo-intensive qualitative analysis of 49 small and informal businesses in Bangalore (April 2006), a survey of 347 similar businesses in Hyderabad (January 2007),
Project details
Labs: India
This is an umbrella project for several related efforts at Microsoft Research Silicon Valley that address various Multi-Armed Bandit (MAB) formulations motivated by web search and ad placement. The MAB problem is a classical paradigm in Machine Learning in which an online algorithm chooses from a set of strategies in a sequence of trials so as to maximize the total payoff of the chosen strategies.
Rural PC kiosks are shared-access computer centers, run either as community centers or as businesses, which seek to deliver services to support socio-economic development of poor rural areas. Our research suggests that there are systemic reasons why it is difficult to sustain development-oriented kiosks, though variations of kiosks can and do endure.
Project details
Labs: India
In web search today, a user types a few keywords and gets back links to web pages consisting of unstructured data. This leaves a lot to be desired for when there is structure data stores or the user includes some structural semantics in their query. With our work we aim to allow web results to include information from structured data sources ranging from fully relational databases, to flat tables and XML files to hidden data accessible only via web forms. Additionally, we aim to automaticall
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> Our research