The task of predicting a movie genre from its poster can be very challenging owing to the
high variability of movie posters. A novel approach for the generation of a multi-label movie …

This paper considers the problem of leveraging multiple sources of information or data
modalities (eg, images and text) in neural networks. We define a novel model called gated …

Findings across a wide body of research suggest that media targeted at young audiences
often portray characters according to stereotypical gender roles. Childhood is a particularly …

In the film industry, the ability to predict a movie's box-office revenues before its theatrical
release can decrease its financial risk. However, accurate predictions are not easily …

We propose to achieve movie genre classification based only on movie poster images. A
deep neural network is constructed to jointly describe visual appearance and object …

Movie plot summaries are expected to reflect the genre of movies since many spectators
read the plot summaries before deciding to watch a movie. In this study, we perform movie …

We propose iMovieRec, a hybrid movie recommendation method that employs an image-
user-item model, which utilizes both CF models and graph features. The purpose of this …

As the scale of the film industry grows, the demand for well-established movie databases is
also growing. The genre of a movie supplies information on its overall content and has …

Prediction of movie genres is an intriguing problem that has several applications in
designing recommendation systems for the audiences, analyzing movie box office …

The film industry is incredibly reliant upon the use of posters to advertise movies in the
hopes of increasing viewership and hence profits. A good poster is able to convey important …