skip to main content
10.1145/3460231.3474619acmconferencesArticle/Chapter ViewAbstractPublication PagesrecsysConference Proceedingsconference-collections
abstract

Building a Platform for Ensemble-based Personalized Research Literature Recommendations for AI and Data Science at Zeta Alpha

Published: 13 September 2021 Publication History

Abstract

No abstract available.

Supplementary Material

MP4 File (Zeta_Alpha.recsys2021.final3.mp4)
Building a Platform for Ensemble-based Personalized Research Literature Recommendations for AI and Data Science at Zeta Alpha

References

[1]
Rocío Cañamares, Marcos Redondo, and Pablo Castells. 2019. Multi-armed recommender system bandit ensembles. https://doi.org/10.1145/3298689.3346984
[2]
Benjamin Charles, Germain Lee, Kyle Lo, Doug Downey, and Daniel S. Weld. 2020. Explanation-Based Tuning of Opaque Machine Learners with Application to Paper Recommendation. https://arxiv.org/abs/2003.0431
[3]
Kristian Gingstad, Øyvind Jekteberg, and Krisztian Balog. 2020. ArXivDigest: A Living Lab for Personalized Scientific Literature Recommendation. https://arxiv.org/abs/2009.11576
[4]
Marlesson R. O. Santana, Luckeciano C. Melo, Fernando H. F. Camargo, Bruno Brandão, Anderson Soares, Renan M. Oliveira, and Sandor Caetano. 2020. Contextual Meta-Bandit for Recommender Systems Selection. https://doi.org/10.1145/3383313.3412209

Cited By

View all
  • (2022)Scientific paper recommendation systems: a literature review of recent publicationsInternational Journal on Digital Libraries10.1007/s00799-022-00339-w23:4(335-369)Online publication date: 1-Dec-2022

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
RecSys '21: Proceedings of the 15th ACM Conference on Recommender Systems
September 2021
883 pages
ISBN:9781450384582
DOI:10.1145/3460231
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

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 September 2021

Check for updates

Qualifiers

  • Abstract
  • Research
  • Refereed limited

Conference

RecSys '21: Fifteenth ACM Conference on Recommender Systems
September 27 - October 1, 2021
Amsterdam, Netherlands

Acceptance Rates

Overall Acceptance Rate 254 of 1,295 submissions, 20%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)10
  • Downloads (Last 6 weeks)0
Reflects downloads up to 10 Feb 2025

Other Metrics

Citations

Cited By

View all
  • (2022)Scientific paper recommendation systems: a literature review of recent publicationsInternational Journal on Digital Libraries10.1007/s00799-022-00339-w23:4(335-369)Online publication date: 1-Dec-2022

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media