The Digital Library

The ACM Digital Library (DL) is the most comprehensive collection of full-text articles and bibliographic records in existence today covering the fields of computing and information technology. The full-text database includes the complete collection of ACM's publications, including journals, conference proceedings, magazines, newsletters, and multimedia titles and currently consists of:

  • 407,367 Full-text articles
  • 2.0+ Million Pages of full-text articles
  • 18,000+ New full-text articles added each year
  • 44+ High Impact Journals with 2-3 new journals being launched each year
  • 275+ Conference Proceedings Titles added each year
  • 2,000+ Proceedings Volumes
  • 8 Magazines (including the flagship Communications of the ACM, the most heavily cited publication in the field of computing according to Thomson-Reuters)
  • 37 Technical Newsletters from ACM's Special Interest Groups (SIGs)
  • 6,500+ Video files
  • 594 Audio files

In addition to the full-text database, the ACM Digital Library is heavily integrated with and includes unrestricted access to the Guide to Computing Literature bibliography.

The ACM Digital Library includes reference linking though CrossRef, integration with the ACM Computing Reviews database, index terms using ACM's 2012 Computing Classification Scheme (CCS), alerting and TOC services, and all export formats including BibTex, Endnote, and ACM Ref, as well as OpenURL compliance, and COUNTER III and SUSHI Compliant usage statistics.


Bayesian synthesis of probabilistic programs for automatic data modeling

Proceedings of the ACM on Programming Languages, Volume 3 Issue POPL, January 2019

A Survey on Deep Learning: Algorithms, Techniques, and Applications

ACM Computing Surveys (CSUR), Volume 51 Issue 5, January 2019

An iterative design methodology for user-friendly natural language office information applications

ACM Transactions on Information Systems (TOIS), Volume 2 Issue 1, Jan. 1984

A Survey of Methods for Explaining Black Box Models

ACM Computing Surveys (CSUR), Volume 51 Issue 5, January 2019

The Netflix Recommender System: Algorithms, Business Value, and Innovation

ACM Transactions on Management Information Systems (TMIS), Volume 6 Issue 4, January 2016


A Tour through the Visualization Zoo

Queue, Volume 8 Issue 5, May 2010

Identity by Any Other Name

Queue, Volume 16 Issue 6, November-December 2018

The 7% rule: fact, fiction, or misunderstanding

Ubiquity, Volume 2011 Issue October, October 2011

A new golden age for computer architecture

Communications of the ACM, Volume 62 Issue 2, February 2019

Why Google stores billions of lines of code in a single repository

Communications of the ACM, Volume 59 Issue 7, July 2016


TFX: A TensorFlow-Based Production-Scale Machine Learning Platform

KDD '17: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

XGBoost: A Scalable Tree Boosting System

KDD '16: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

FAWN: a fast array of wimpy nodes

SOSP '09: Proceedings of the ACM SIGOPS 22nd symposium on Operating systems principles

How A/B Tests Could Go Wrong: Automatic Diagnosis of Invalid Online Experiments

WSDM '19: Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining

Thumbs up?: sentiment classification using machine learning techniques

EMNLP '02: Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10