Sequential Movie Genre Prediction Using Average Transition Probability with Clustering

In recent movie recommendations, one of the most important issues is to predict the user’s sequential behavior to be able to suggest the next movie to watch. However, capturing such sequential behavior is not easy because each user’s short-term or long-term behavior must be taken into account. For this reason, many research results show that the performance of recommending a specific movie is not good in a sequential recommendation. In this paper, we propose a cluster-based method for classifying users with similar movie purchase patterns and a movie genre prediction algorithm rather than the movie itself considering their short-term and long-term behaviors. The movie genre prediction does not recommend a specific movie, but it predicts the genre for the next movie to watch in consideration of each user’s preference for the movie genre based on the genre included in the movie. Using this, it will be possible to provide appropriate guidelines for recommending movies including the genres to users who tend to prefer a specific genre. In particular, in this study, users with similar genre preferences are organized into clusters to recommend genres. For clusters that do not have relatively specific tendencies, genre prediction is performed by appropriately trimming genres that are not necessary for recommendation in order to improve performance. We evaluate our method on well-known movie data sets and qualitatively determine that it captures personalized dynamics and is able to make meaningful recommendations.

Превратности таланта: Дмитрий Налбандян

The article is dedicated to the study of celebrated Soviet painter Dmitry Nalbandian’s creative life and pictorial heritage. The author highlights master’s interest in subject matter and genre preferences, analyses the peculiarities of his image thinking and pictorial style, emphasizes public recognition of painter’s art.

Does Perceived Stress of University Students Affected by Preferences for Movie Genres? an Exploratory Cross-Sectional Study in China

This study aims to explore whether different preferences for movie genres were related to different perceived stress of college students. An online questionnaire was designed and it was filled out by 1,549 students voluntarily. The 10-item perceived stress scale (PSS-10) and multinomial logistic regression were used to access the perceived stress and the association between the movie preference genres. Over 90% of participants had mild to serious levels of stress. Differences were found between participants with different stress perception states in terms of smoking history, active exercise, and sleep duration (p < 0.05). The participants who showed a preference for suspense movies more probably had lower stress [relative risk ratio (RRR)1 = 0.34, RRR2 = 0.26, p < 0.05], while students who showed preferences for crime film and disaster film more probably had higher stress (RRR = 2.03, p < 0.05, RRR = 3.15, p < 0.05). And the significant gender gap in different film genre preferences was observed in this study (p < 0.05). The males who showed preference for horror movies were more probably to have moderate stress (OR = 3.68, p < 0.05), and females who showed a preference for disaster movies were more probably to have high stress (OR = 3.27, p < 0.05). The perceived stress of Chinese university students is high after 1.5 years of coronavirus disease (COVID-19) pandemic. The personal preferences for certain film genres were significantly associated with perceived stress. As different film genre preferences, such as the preference for disaster, crime, and horror, are associated with high perceived stress, it may turn out to be useful to pay more attention to an individual’s film viewing. The teachers need to be concerned with the media usage history and preferences of their students and may advise students with high-level stress to avoid potentially harmful media content.

Health, Technology, and Genre Preferences: A Preliminary Investigation

Cultivation theory assumes that frequent exposure to certain media can lead people to perceive the real world through the lens of their preferred media. This led to the research question of whether fans of science fiction who are accustomed to seeing problem solving based on science and technology are prone to accept science- and technology-based interventions to curb the spread of the COVID-19 pandemic. An exploratory survey and a preregistered experiment (N = 1,983) found that participants who liked science fiction were more likely to trust science and to accept protective measures against COVID-19. This effect was especially visible for a Corona mobile-phone app but also extended to other behaviors. The effect was stronger for those whose genre preference was activated just before the behavioral intentions were assessed. Harnessing these preferences could improve health communication and may be useful in solving health crises, such as pandemics or the climate crisis.

The Language Means of Comicality in Clickbait Headings

The analysis of material presented in the media discourse demonstrates significant changes in the intentionality of the journalistic text, which are reflected in establishing contacts so as to grab and retain the reader's attention. This feature of modern media text is represented in changing genre preferences, speech tactics and strategies, and, consequently, selecting and combining linguistic means. One of the manifestations of this trend is the phenomenon of clickbait, which is a communicative act of promising to continue communication. This article is dedicated to the clickbait with the semantics of comicality. The collected from the Russian-language Internet research material includes clickbait headings that promise a certain funny content. The study revealed that a clickbait model includes the following semantic components: a stimulating utterance of the subject of speech seeking to involve the reader in the humorous nature of hypertext; the verbal and non-verbal markers of the object of laughter; markers, which reflect Internet user's involvement in the communicative act. The analysis of relationship between the components of a clickbait model resulted in specifying four types of clickbait headlines: 1) narrative headlines, which invite the reader to laugh what some other readers have already laughed at; 2) offering headlines suggesting some comic entertainment; 3) allusive clickbaits that hint on the possibility to continue amusing reading; 4) nominative clickbaits, which name the expected laughing reaction to the presentation of some objects.

THE PECULIARITIES OF THE RECEPTION OF HENRY FIELDING’S DRAMATURGIC HERITAGE IN CONTEMPORARY LITERARY CRITICISM

The research is devoted to exploring the features of reception of Henry Fielding’s dramatic heritage. The aim of the study is to analyze literary critics’ research of Henry Fielding’s creative work. We make the conclusion that Henry Fielding’s unprecedented success was due to the relevance of the topics and issues which the author focuses on. The characters, plots and themes were extremely close to the audience of that time and that is why they gained incredible popularity. In literary criticism, it was thought that the dramatic works served as a kind of start for Fielding to create his further fundamental works. But the writer should be considered in several guises: Fielding as a playwright, Fielding as a journalist, Fielding as a novelist, each of which deserves the detailed study and can help to provide a complete picture of the search that became the key to success in each new round of his creative evolution. We consider the analysis of Fielding’s plays, which can become a material for studying the genre preferences of the writer, the key to the study of his novels and Fielding’s impact on the next generations of playwrights.

Videogame Preferences among Adults Interested in Quitting Smoking Cigarettes (Preprint)

UNSTRUCTURED Background: Smoking is the number one preventable cause of morbidity and mortality in the United States. Although most smokers express a desire to quit smoking, only a small percentage are successful. Serious games have become popular in health sectors as a potential avenue for delivering a scalable treatment that is both accessible and engaging for this population. Objective: Several smoking cessation games have already been developed 1–6, but these games feature a broad range of gameplay elements and are not necessarily driven by existing videogame preferences. The current study evaluated videogame genre preferences among treatment seeking smokers (N = 473). Methods: Participants responded to a screening survey distributed to enroll participants in a serious game intervention for smoking. During this survey, participants were asked to disclose their favorite videogames and reported 338 unique titles. These titles were coded for genre category based on publisher listing and game features. The genres were then analyzed for frequency of reporting overall and across age groups. Results: Action, Roleplaying, and Action-Adventure were the most reported genres among adults 34 and under, whereas Logic and Action were the most reported genres in adults 45 and older. Among adults aged 35 to 44 this shift is observed, with Action, Action-Adventure and Logic being most reported. These data indicate that treatment-seeking smokers have different game preferences across age groups, and provides novel information to inform the development of future serious games targeting smokers that are tailored to the preferences of their age group.

P. Merime’s Essay “Nikolai Gogol”

Merimee’s essay “Nikolai Gogol”, in which the author presented the Russian writer as an imitator of European models, a satirist who focused on portraying the flaws of Russian life, a writer who neglects the plausibility of the overall composition is considered in the article. The author of this article shows that such a superficial and biased approach to Gogol’s texts aroused indignation among Russian journalists in both 19th century capitals and continues to be criticized by Russian and French literary critics. The results of a comparative analysis of the essay “Nikolai Gogol” with reviews of French-speaking journalists who wrote about the author of “The Inspector General” and “Dead Souls” in Parisian magazines of the 1840s are presented in the article. The question is raised that the motives that prompted Merimee to turn to the work of Gogol, and the reasons for the bias in relation to his work are still unrevealed. The novelty of the research is seen in the fact that the essay by Mérimée is for the first time considered as a commentary on the stable aesthetic position of the French writer, discordant with the poetics of romanticism and realism. The author dwells on the study of a number of artistic devices of the works of Merimee in the 1820—1840s and his genre preferences in the 1850s.

Of Time Gals and Mega Men: Empirical Findings on Gender Differences in Digital Game Genre Preferences and the Accuracy of Respective Gender Stereotypes

We investigated the accuracy of gender stereotypes regarding digital game genre preferences. In Study 1, 484 female and male participants rated their preference for 17 game genres (gender differences). In Study 2, another sample of 226 participants rated the extent to which the same genres were presumably preferred by women or men (gender stereotypes). We then compared the results of both studies in order to determine the accuracy of the gender stereotypes. Study 1 revealed actual gender differences for most genres—mostly of moderate size. Study 2 revealed substantial gender stereotypes about genre preferences. When comparing the results from both studies, we found that gender stereotypes were accurate in direction for most genres. However, they were, to some degree, inaccurate in size: For most genres, gender stereotypes overestimated the actual gender difference with a moderate mean effect size.