Problem
Research questions and friction points this paper is trying to address.
exogenous events
recommender systems
movie adaptations
book readership
Book Readership During Movie Releases: An Exploratory Analysis
🤖 AI Summary
研究使用Goodreads数据集分析电影上映对书籍阅读量的影响，并评估现有推荐模型在电影上映期间对改编书籍的排序效果。
📝 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.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Exogenous Events
Recommender Systems
Movie Adaptations
Goodreads Dataset
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