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Marcus Fontoura
Researcher at Microsoft
Publications - 125
Citations - 4048
Marcus Fontoura is an academic researcher from Microsoft. The author has contributed to research in topics: Set (abstract data type) & Inverted index. The author has an hindex of 33, co-authored 122 publications receiving 3606 citations. Previous affiliations of Marcus Fontoura include Princeton University & Google.
Papers
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Proceedings ArticleDOI
Resource Central: Understanding and Predicting Workloads for Improved Resource Management in Large Cloud Platforms
TL;DR: An extensive characterization of Microsoft Azure's VM workload, including distributions of the VMs' lifetime, deployment size, and resource consumption is introduced, and Resource Central, a system that collects VM telemetry, learns these behaviors offline, and provides predictions online to various resource managers via a general client-side library is introduced.
Proceedings ArticleDOI
A semantic approach to contextual advertising
TL;DR: A system for contextual ad matching based on a combination of semantic and syntactic features is proposed, which will help improve the user experience and reduce the number of irrelevant ads.
Proceedings ArticleDOI
Robust classification of rare queries using web knowledge
Andrei Z. Broder,Marcus Fontoura,Evgeniy Gabrilovich,Amruta Joshi,Vanja Josifovski,Tong Zhang +5 more
TL;DR: This work proposes a methodology for building a practical robust query classification system that can identify thousands of query classes with reasonable accuracy, while dealing in real-time with the query volume of a commercial web search engine.
Journal ArticleDOI
Querying XML streams
TL;DR: The TurboXPath path processor is proposed, which accepts a language equivalent to a subset of the for-let-where constructs of XQuery over a single document, and can be extended to provide full XQuery support or used to augment federated database engines for efficient handling of queries over XML data streams produced by external sources.
Patent
System and method for querying xml streams
Marcus Fontoura,Vanja Josifovsld +1 more
TL;DR: In this paper, a system and method for querying a stream of XML data in a single pass using standard XQuery expressions is presented, consisting of an expression parser that receives a query and generates a parse tree; a SAX events API that receives the stream of XQuery data and generates an evaluator that receives parse trees and stream of events and buffers fragments from the stream.