Research Area
Year Published

770 Results

May 18, 2015

Design and Analysis of Benchmarking Experiments for Distributed Internet Services

Proc. WWW

We develop statistical models of distributed Internet service performance based on data from Perflab, a production system used at Facebook which vets thousands of changes to the company’s codebase each day.

By: Eytan Bakshy, Eitan Frachtenberg

May 9, 2015

Exposure to Ideologically Diverse News and Opinion on Facebook

Science.

How do these online networks influence exposure to perspectives that cut across ideological lines?

By: Eytan Bakshy, Solomon Messing, Lada Adamic

May 6, 2015

Wormhole: Reliable Pub-Sub to Support Geo-replicated Internet Services

12th USENIX Symposium on Networked Systems Design and Implementation

Wormhole is a publish-subscribe (pub-sub) system developed for use within Facebook’s geographically replicated datacenters. It is used to reliably replicate changes among several Facebook services including TAO, Graph Search and Memcache. This paper describes the design and implementation of Wormhole as well as the operational challenges of scaling the system to support the multiple data storage systems deployed at Facebook.

By: Yogeshwer Sharma, Philippe Ajoux, Petchean Ang, David Callies, Abhishek Choudhary, Laurent Demailly, Thomas Fersch, Liat Atsmon, Andrzej Kotulski, Sachin Kulkarni, Sanjeev Kumar, Harry Li, Jun Li, Evgeniy Makeev, Kowshik Prakasam, Robbert van Renesse, Sabyasachi Roy, Pratyush Seth, Yee Jiun Song, Benjamin Wester, Kaushik Veeraraghavan, Peter Xie

March 14, 2015

The Diffusion of Support in an Online Social Movement: Evidence from the Adoption of Equal-Sign Profile Pictures

Proc. CSCW'15

In March of 2013, 3 million Facebook users changed their profile picture to one of an equals sign to express support of same-sex marriage. We demonstrate that this action shows complex diffusion characteristics congruent with threshold models, with most users observing several of their friends changing their profile picture before taking the action themselves.

By: Bogdan State, Lada Adamic

February 17, 2015

What Makes for Effective Detection Proposals?

PAMI

An in depth study of object proposals and their effect on object detection performance.

By: Jan Hosang, Rodrigo Benenson, Piotr Dollar, Bernt Schiele

February 10, 2015

Moving Fast with Software Verification

NASA Formal Method Symposium

For organisations like Facebook, high quality software is important. However, the pace of change and increasing complexity of modern code makes it difficult to produce error free software. Available tools are often lacking in helping programmers develop more reliable and secure applications.

By: Cristiano Calcagno, Dino Distefano, Jeremy Dubreil, Dominik Gabi, Pieter Hooimeijer, Martino Luca, Peter O'Hearn, Irene Papakonstantinou, Jim Purbrick, Dulma Churchill

December 19, 2014

Predicting the Quality of New Contributors to the Facebook Crowdsourcing System

Neural Information Processing Systems: Crowdsourcing and Machine Learning Workshop

We are interested in improving the quality and coverage of a knowledge graph through crowdsourcing features built into a social networking service. This work presents an approach to model user trust when prior history is lacking.

By: Julian Eisenschlos

December 19, 2014

Video (language) Modeling: a Baseline for Generative Models of Natural Videos

ArXiv PrePrint

In this work, we investigate models of natural high-resolution video sequences. We show that very simple models borrowed by language modeling applications are surprisingly effective at recovering shor…

By: Marc'Aurelio Ranzato, Arthur Szlam, Joan Bruna, Michael Mathieu, Ronan Collobert, Sumit Chopra

December 19, 2014

Ensemble of Generative and Discriminative Techniques for Sentiment Analysis of Movie Reviews

ICLR workshop 2015

In this work we ensemble several models and achieve state of the art accuracy for predicting the sentiment of movie reviews in the IMDB dataset.

By: Gregoire Mesnil, Tomas Mikolov, Marc'Aurelio Ranzato, Yoshua Bengio

December 4, 2014

Extracting Translation Pairs from Social Network Content

International Workshop on Spoken Language Translation

We describe two methods to collect translation pairs from public Facebook content. We use the extracted translation pairs as additional training data for machine translation systems and we can show significant improvements.

By: Matthias Eck, Yury Zemlyanskiy, Joy Zhang, Alex Waibel