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Association for Computing Machinery

Articles Tagged: Information retrieval

Articles & Features

SECTION: Features

Learning Analytics: An Opportunity for Education

How analytics is transforming the future for millions of learners.

By Ryan S. Baker, April 2023

PDF | HTML | In the Digital Library

DEPARTMENT: Hello World

The Inexplicable Efficacy of Language Models

By Rachith Aiyappa, Zoher Kachwala, April 2023

PDF | HTML | In the Digital Library

Sorry kids, Iron Man's superpowers aren't unique

Sorry kids, Iron Man's superpowers aren't unique

By Lara Zupan, Marinka Zitnik, November 2015

PDF | HTML | In the Digital Library

Hidden Genes: Understanding cancer data with matrix factorization

Dynamics of news from the <i>New York Times</i>

High-performance computing and the cloud

SECTION: Features

High-performance computing and the cloud

Infrastructure clouds offer tremendous potential for scientific users, however, they face numerous challenges that must be addressed before they are widely adopted by scientific communities.

By Paul Marshall, Henry Tufo, Kate Keahey, March 2013

PDF | HTML | In the Digital Library

Dream applications of verifiable computational results

Dream applications of verifiable computational results

A new system allows researchers to discover, reuse, cite, and experiment upon any computational result that is published with a Verifiable Result Identifier.

By Matan Gavish, David Donoho, Amos Onn, March 2013

PDF | HTML | In the Digital Library

Sketching and streaming algorithms for processing massive data

Sketching and streaming algorithms for processing massive data

The rate at which electronic information is generated in the world is exploding. In this article we explore techniques known as sketching and streaming for processing massive data both quickly and memory-efficiently.

By Jelani Nelson, September 2012

PDF | HTML | In the Digital Library

Taming big probability distributions

Taming big probability distributions

New algorithms for estimating parameters of distributions over big domains need significantly fewer samples.

By Ronitt Rubinfeld, September 2012

PDF | HTML | In the Digital Library

Big data platforms: What's next?

Big data platforms: What's next?

Three computer scientists from UC Irvine address the question "What's next for big data?" by summarizing the current state of the big data platform space and then describing ASTERIX, their next-generation big data management system.

By Vinayak R. Borkar, Michael J. Carey, Chen Li, September 2012

PDF | HTML | In the Digital Library

Interactive analysis of big data

Interactive analysis of big data

New user interfaces can transform how we work with big data, and raise exciting research problems that span human-computer interaction, machine learning, and distributed systems.

By Jeffrey Heer, Sean Kandel, September 2012

PDF | HTML | In the Digital Library

Big data in computational biology

Big data in computational biology

An invitation to the digital science of life.

By Cliburn Chan, September 2012

PDF | HTML | In the Digital Library

Web search

DEPARTMENT: Back

Web search

By Finn Kuusisto, June 2012

PDF | HTML | In the Digital Library

Recent ideas for circumventing internet filtering

SECTION: Features

Recent ideas for circumventing internet filtering

Technical solutions can provide a skeleton key to unlocking the Internet.

By Dan Boneh, December 2011

PDF | HTML | In the Digital Library

Fighting censorship with algorithms

Fighting censorship with algorithms

By Mohammad Mahdian, December 2011

PDF | HTML | In the Digital Library

Profile Luis von Ahn

Profile Luis von Ahn

By Robert J. Simmons, December 2010

PDF | HTML | In the Digital Library

Are your friends who they say they are?

Are your friends who they say they are?

How sure are you that your friends are who they say they are? In real life, unless you are the target of some form of espionage, you can usually be fairly certain that you know whom your friends are because you have a history of shared interests and experiences. Likewise, most people can tell, just by using common sense, if someone is trying to sell them on a product, idea, or candidate. When we interact with people face-to-face, we reevaluate continuously whether something just seems off based on body language and other social and cultural cues.

By Roya Feizy, Ian Wakeman, Dan Chalmers, December 2009

PDF | HTML | In the Digital Library

Introduction

By Justin Solomon, June 2009

PDF | HTML | In the Digital Library

LibraryThing

By Anna Ritchie, June 2009

PDF | HTML | In the Digital Library

An overview of privacy preserving data mining

By Aris Gkoulalas-Divanis, Vassilios S. Verykios, June 2009

PDF | HTML | In the Digital Library

AmazonViz

This article describes a technique to visualize query results, representing purchase orders placed on Amazon.com, along a traditional 2-D scatter plot and a space-filling spiral. We integrate 3-D objects that vary their spatial placement, color, and texture properties into a visualization algorithm. This algorithm represents important aspects of a purchase order based on experimental results from human vision, computer graphics, and psychology. The resulting visual abstractions are used by viewers to rapidly and effectively explore and analyze the underlying purchase orders data.

By Amit Prakash Sawant, Christopher G. Healey, Dongfeng Chen, Rada Chirkova, March 2009

PDF | HTML | In the Digital Library

Exploring global terrorism data

By Joonghoon Lee, December 2008

PDF | HTML | In the Digital Library

Digital blasphemy

By Cara Cocking, December 2008

PDF | HTML | In the Digital Library

Introduction

By Justin Solomon, June 2008

PDF | HTML | In the Digital Library

Information superwhichway?

By Craig Pfeifer, June 2008

PDF | HTML | In the Digital Library

Using perception in managing unstructured documents

By Ching Kang Cheng, Xiaoshan Pan, October 2005

PDF | HTML | In the Digital Library

Using the web to enhance and transform education

By Michael Hulme, Michael Locasto, September 2003

PDF | HTML | In the Digital Library

Cookies

By Michael Nelte, Elton Saul, September 2000

PDF | HTML | In the Digital Library

Charlotte

By Stuart Patterson, June 2000

PDF | HTML | In the Digital Library

XML: the future of the Web

By John B. Bedunah, November 1999

PDF | HTML | In the Digital Library

Road crew

By Saveen Reddy, December 1994

PDF | HTML | In the Digital Library