skip to main content
10.1145/3109859.3109970acmconferencesArticle/Chapter ViewAbstractPublication PagesrecsysConference Proceedingsconference-collections
abstract

LSRS'17: Workshop on Large-Scale Recommender Systems

Published: 27 August 2017 Publication History

Abstract

With the increase of data collected and computation power available, modern recommender systems are ever facing new challenges. While complex models are developed in academia, industry practice seems to focus on relatively simple techniques that can deal with the magnitude of data and the need to distribute the computation. The workshop on large-scale recommender systems (LSRS) is a meeting place for industry and academia to discuss the current and future challenges of applied large-scale recommender systems.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
RecSys '17: Proceedings of the Eleventh ACM Conference on Recommender Systems
August 2017
466 pages
ISBN:9781450346528
DOI:10.1145/3109859
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

In-Cooperation

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 August 2017

Check for updates

Author Tags

  1. big data
  2. machine learning
  3. recommendation systems
  4. scalability

Qualifiers

  • Abstract

Conference

RecSys '17
Sponsor:

Acceptance Rates

RecSys '17 Paper Acceptance Rate 26 of 125 submissions, 21%;
Overall Acceptance Rate 254 of 1,295 submissions, 20%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 174
    Total Downloads
  • Downloads (Last 12 months)3
  • Downloads (Last 6 weeks)0
Reflects downloads up to 08 Mar 2025

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media