W examine box-office sales in the context of a market share model. This is accomplished by developing a combination of a sliding-window logit model and a gamma diffusion pattern in a hierarchical Bayes framework. We show that accounting for the full choice set available every week not only increases the fit of weekly movie sales but also leads to parameter estimates that depict a richer picture...

With the continuous progress of computer network technology and burst new digital media art, virtual reality technology, a revolution in transmitting information, has come into being. As brand combination film films have an interactive experience that no other art genre can achieve. During movie watching process, audience walk scene, panoramic arbitrary observation any angle around, active inte...

The issue of “genre memory” in the noir film language is one most relevant problems modern study “black” cinema evolution. In spite fact that recent years, has significantly expanded its traditional artistic “cover”, features and ways transformation priority vectors research. context audiovisual transformations early 21st century, represented by at least two genre constructions (post-noir neo-n...

Abstract This chat presents a novel approach to automated product recommendation that uses the popularity characteristics of products. Although they play a significant role in the consumer purchasing process, there has been little attention paid to the use of popularity in recommendation research so far. In order to use popularity features, this paper develops a threedimensional model of popula...

Audiences are attracted to dramas and horror movies even though negative and ambivalent emotions are likely to be experienced. Research into the seemingly paradoxical enjoyment of this kind of media entertainment has typically focused on genderand genrespecific needs and viewing motivations. Extending this line of research, the authors focus the role of the need for affect as a more general, ge...

This paper addresses the issue of unobserved heterogeneity in film characteristics influence on boxoffice. We argue that the analysis of pooled samples, most common among researchers, does not shed light on underlying segmentations and leads to significantly different estimates obtained by researchers running similar regressions for movie success modeling. For instance, it may be expected that ...

This paper presents a framework for the classification of feature films into genres, based on computable visual cues. The authors view the work as a step towards high-level semantic film interpretation, currently using low-level video features and knowledge of ubiquitous cinematic practices. Our current domain of study is the film preview (the commercial advertisements primarily created to attr...

Statistical classifiers operate on features that generally include both useful and useless information. These two types of information are difficult to separate in the feature domain. Recently, a new paradigm based on a Latent Factor Analysis (LFA) proposed a model decomposition into usefull and useless components. This method was successfully applied to speaker and language recognition tasks. ...

A variety of theoretical foundations and methodologies populate the IS field of research. At odds, there is a general uniformity in the ways of presenting the outcome of research. As a result, traditional empirical research structures and wording may inadequately conveys research results to the relevant audience or undermine the potential impact of IS studies. To overcome such limitations, alte...

Skipforward is a distributed annotation system allowing users to enter and browse statements about items and their features. Items can be things such as movies or books; item features are the genre of a movie or the storytelling pace of a book. Whenever multiple users annotate the same item with a statement about the same feature, these individual statements get aggregated by the system. For ag...