New Conference Paper: “Understanding Book Popularity on Goodreads”
Below is a link to a conference paper (5 pages; PDF) presented in early January by engineers from the Indian Institute of Technology at the ACM “Group 18 Conference” in Florida.
Understanding Book Popularity on Goodreads
Suman Kalyan Maity
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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Gary Price (email@example.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. Before launching INFOdocket, Price and Shirl Kennedy were the founders and senior editors at ResourceShelf and DocuTicker for 10 years. From 2006-2009 he was Director of Online Information Services at Ask.com, and is currently a contributing editor at Search Engine Land.