Preprint
Book Readership During Movie Releases: An Exploratory Analysis
arXiv (Cornell University)
29 Aug 2026
Abstract
Exogenous events can temporarily change the relevance of items in recommender systems, but these shifts are often not visible in historical interaction data until after users have already responded. In book recommendation, movie adaptations provide a clear example of such events: the release of a movie based on a book can temporarily increase attention to the source text and change its relevance for some readers. We examine this phenomenon using a large Goodreads dataset matched to movie release dates. We find a clear spike in readership around the release month, and then we evaluate existing recommendation models to understand how they rank movie-adapted books around the movie release date.
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Details
- Title
- Book Readership During Movie Releases: An Exploratory Analysis
- Creators
- Sushobhan Parajuli - Drexel UniversityVittoria Vineis - Sapienza University of RomeSamira Vaez Barenji - Drexel UniversityMichael D Ekstrand - Drexel University
- Publication Details
- arXiv (Cornell University)
- Resource Type
- Preprint
- Language
- English
- Academic Unit
- Information Science
- Other Identifier
- 991022204060104721