Understanding Book Popularity on Goodreads

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dc.contributor.authorMaity, Suman Kalyan
dc.contributor.authorKumar, Ayush
dc.contributor.authorMullick, Ankan
dc.contributor.authorChoudhary, Vishnu
dc.contributor.authorMukherjee, Animesh
dc.date.accessioned2023-03-17T22:48:41Z
dc.date.available2023-03-17T22:48:41Z
dc.date.issued2018
dc.description.abstractGoodreads 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.en
dc.identifier.doi10.1145/3148330.3154512
dc.identifier.urihttps://dl.eusset.eu/handle/20.500.12015/4493
dc.language.isoen
dc.publisherAssociation for Computing Machinery
dc.relation.ispartofProceedings of the 2018 ACM International Conference on Supporting Group Work
dc.subjectgoodreads
dc.subjectbook popularity
dc.subjectprediction
dc.titleUnderstanding Book Popularity on Goodreadsen
dc.typeText/Conference Paper
gi.citation.startPage117–121
gi.conference.locationSanibel Island, Florida, USA

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