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Understanding Book Popularity on Goodreads

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Animesh MukherjeeAuthors Info & Claims

GROUP '18: Proceedings of the 2018 ACM International Conference on Supporting Group Work

Pages 117 - 121

https://doi.org/10.1145/3148330.3154512

Published: 07 January 2018 Publication History

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Abstract

Goodreads has launched the Readers Choice Awards since 2009 where users are able to nominate/vote books of their choice, released in the given year. In this work, we question if the number of votes that a book would receive (aka the popularity of the book) can be predicted based on the characteristics of various entities on Goodreads. We are successful in predicting the popularity of the books with high prediction accuracy (correlation coefficient ~0.61) and low RMSE (~1.25). User engagement and author's prestige are found to be crucial factors for book popularity.

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Cited By

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Lee Sde Villiers R(2024)Unveiling Emotional Intensity in Online Reviews: Adopting Advanced Machine Learning TechniquesAustralasian Marketing Journal10.1177/14413582241244808Online publication date: 6-Apr-2024
https://doi.org/10.1177/14413582241244808
Shiozaki R(2024)Preservation Preferences for Books and Websites as Cultural Heritage: A Conjoint AnalysisCollection Management10.1080/01462679.2024.2422600(1-19)Online publication date: 4-Nov-2024
https://doi.org/10.1080/01462679.2024.2422600
Wijaya RStaniswinata SClarin MQomariyah NManuaba I(2023)Prediction Model of Book Popularity from Goodreads “To Read” and “Worst” Books2023 10th International Conference on ICT for Smart Society (ICISS)10.1109/ICISS59129.2023.10291619(1-7)Online publication date: 6-Sep-2023
https://doi.org/10.1109/ICISS59129.2023.10291619
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Index Terms

Understanding Book Popularity on Goodreads
1. Applied computing
  1. Law, social and behavioral sciences
2. Information systems
  1. Information systems applications

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Information & Contributors

Information

Published In

GROUP '18: Proceedings of the 2018 ACM International Conference on Supporting Group Work

January 2018

422 pages

ISBN:9781450355629

DOI:10.1145/3148330

General Chairs:
Andrea Forte
Drexel University, USA
,
Michael Prilla
Clausthal University of Technology, Germany
,
Adriana Vivacqua
Universidade Federal do Rio de Janeiro, Brazil
,
Program Chairs:
Claudia Müller
University of Siegen, Germany
,
Lionel P. Robert
University of Michigan, USA

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.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 January 2018

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GROUP '18: 2018 ACM Conference on Supporting Groupwork

January 7 - 10, 2018

Florida, Sanibel Island, USA

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GROUP '18 Paper Acceptance Rate 22 of 94 submissions, 23%;

Overall Acceptance Rate 125 of 405 submissions, 31%

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The 2025 ACM International Conference on Supporting Group Work

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Cited By

View all

Lee Sde Villiers R(2024)Unveiling Emotional Intensity in Online Reviews: Adopting Advanced Machine Learning TechniquesAustralasian Marketing Journal10.1177/14413582241244808Online publication date: 6-Apr-2024
https://doi.org/10.1177/14413582241244808
Shiozaki R(2024)Preservation Preferences for Books and Websites as Cultural Heritage: A Conjoint AnalysisCollection Management10.1080/01462679.2024.2422600(1-19)Online publication date: 4-Nov-2024
https://doi.org/10.1080/01462679.2024.2422600
Wijaya RStaniswinata SClarin MQomariyah NManuaba I(2023)Prediction Model of Book Popularity from Goodreads “To Read” and “Worst” Books2023 10th International Conference on ICT for Smart Society (ICISS)10.1109/ICISS59129.2023.10291619(1-7)Online publication date: 6-Sep-2023
https://doi.org/10.1109/ICISS59129.2023.10291619
Salgaro M(2022)Literary value in the era of big data. Operationalizing critical distance in professional and non-professional reviewsJournal of Cultural Analytics10.22148/001c.364467:2Online publication date: 16-Jun-2022
https://doi.org/10.22148/001c.36446
Antoniak MWalsh MMimno D(2021)Tags, Borders, and CatalogsProceedings of the ACM on Human-Computer Interaction10.1145/34491035:CSCW1(1-29)Online publication date: 22-Apr-2021
https://dl.acm.org/doi/10.1145/3449103

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