Conference Paper

Understanding Book Popularity on Goodreads

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Text/Conference Paper

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Date

2018

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Source

Proceedings of the 2018 ACM International Conference on Supporting Group Work

Publisher

Association for Computing Machinery

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.

Description

Maity, Suman Kalyan; Kumar, Ayush; Mullick, Ankan; Choudhary, Vishnu; Mukherjee, Animesh (2018): Understanding Book Popularity on Goodreads. Proceedings of the 2018 ACM International Conference on Supporting Group Work. DOI: 10.1145/3148330.3154512. Association for Computing Machinery. pp. 117–121. Sanibel Island, Florida, USA

Keywords

goodreads, book popularity, prediction

Citation

DOI

10.1145/3148330.3154512

URI

URI

https://dl.eusset.eu/handle/20.500.12015/4493

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GROUP 2018

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