Covert marketing in films and series by Dimitrijević Ljiljana, Gojković Marija, Kolar Janez

“…And while we are watching a movie or a favorite series, the advertising block and commercials do not bother us at all, and we use that time for other things. …”
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Targeted Advertising in Social Media Platforms Using Hybrid Convolutional Learning Method besides Efficient Feature Weights by Seyed Mohsen Ebadi Jokandan, Peyman Bayat, Mehdi Farrokhbakht Foumani

“…According to the findings, hashtag, brand ID, movie title, and actors achieve the highest scores, and the values for actual training time in various data ratios are relatively linear, which confirms the scalability of the proposed model for large datasets. …”
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Subtitle Translation: Cultural Components in the Translation of the Film Qu'est-ce qu'on a fait au bon Dieu? by Gülhanım Ünsal

“…Subtitle translation which is presented together with the original sound of the movie is a bare translation; therefore it is open to criticism in this respect as well. …”
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NLP neural network copyright protection based on black box watermark by Long DAI, Jing ZHANG, Xuefeng FAN, Xiaoyi ZHOU

“…With the rapid development of natural language processing techniques, the use of language models in text classification and sentiment analysis has been increasing.However, language models are susceptible to piracy and redistribution by adversaries, posing a serious threat to the intellectual property of model owners.Therefore, researchers have been working on designing protection mechanisms to identify the copyright information of language models.However, existing watermarking of language models for text classification tasks cannot be associated with the owner’s identity, and they are not robust enough and cannot regenerate trigger sets.To solve these problems, a new model, namely black-box watermarking scheme for text classification tasks, was proposed.It was a scheme that can remotely and quickly verify model ownership.The copyright message and the key of the model owner were obtained through the Hash-based Message Authentication Code (HMAC), and the message digest obtained by HMAC can prevent forgery and had high security.A certain amount of text data was randomly selected from each category of the original training set and the digest was combined with the text data to construct the trigger set, then the watermark was embedded on the language model during the training process.To evaluate the performance of the proposed scheme, watermarks were embedded on three common language models on the IMDB’s movie reviews and CNews text classification datasets.The experimental results show that the accuracy of the proposed watermarking verification scheme can reach 100% without affecting the original model.Even under common attacks such as model fine-tuning and pruning, the proposed watermarking scheme shows strong robustness and resistance to forgery attacks.Meanwhile, the embedding of the watermark does not affect the convergence time of the model and has high embedding efficiency.…”
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Extracting Implicit User Preferences in Conversational Recommender Systems Using Large Language Models by Woo-Seok Kim, Seongho Lim, Gun-Woo Kim, Sang-Min Choi

“…The proposed approach is validated through experiments on three comprehensive datasets: the Reddit Movie Dataset (8413 dialogues), Inspired (825 dialogues), and ReDial (2311 dialogues). …”
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Facial features of cartoon characters and their perceived attributes by Asma Ashari, Lee Win Jo, Joshua Peh, Graham Oliver

“…Abstract The aim of this study is to investigate the relationship between skeletal antero-posterior profile of popular family cartoon characters and their perceived personal characteristics. The Internet Movie DataBase (IMDB) was used to identify popular animated family movies released since 2000. …”
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Empowering women on screen: exploring the influence of female protagonists on contemporary culture and gendered enjoyment in film by Fokiya Akhtar, Azmat Rasul

“…They watched and read a summary of the movies and rated their expected pleasure of 24 randomly selected movie plots. …”
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Sex, Gore and Provocation: the Influence of Exploitation in John Waters’s Early Films by Elise Pereira Nunes

“…The illicit, controversial topics addressed in his early movies, traditionally brought up by exploitation in order to attract audiences whose voyeuristic desires would not be fulfilled by Hollywood’s promotion of moral standards, have predictably put him at the margins of mainstream movie culture. …”
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Cyclic Training of Dual Deep Neural Networks for Discovering User and Item Latent Traits in Recommendation Systems by Dohyoung Rim, Sirojiddin Nuriev, Younggi Hong

“…When evaluated with the MovieLens 100K dataset, CDLD demonstrated superior performance, achieving a root mean square error (RMSE) that was 2.86% lower than that of matrix factorization and 2.51% lower than that of neural collaborative filtering, thus showing strong generalization capabilities. …”
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Gender (im)balance in the Russian cinema: on the screen and behind the camera by Xenia Leontyeva, Olessia Koltsova, Deb Verhoeven

“…The relationship between on-screen and off-screen inequality in film industries and the relative impact of these on movie attendance is widely discussed but not necessarily empirically demonstrated. …”
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Efficient Preference Clustering via Random Fourier Features by Jingshu Liu, Li Wang, Jinglei Liu

“…Compared with traditional preference clustering, our method solves the problem of insufficient memory and greatly improves the efficiency of the operation. Experiments on movie data sets containing 100 000 ratings, show that the proposed method is more effective in clustering accuracy than the Nyström and k-means, while also achieving better performance than these clustering approaches.…”
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Assexualidade em seriados televisivos: uma análise sócio-histórica by Maria Laura Barros da Rocha, Camila dos Anjos Falcão, Alana Madeiro de Melo Barboza, Luciano Domingues Bueno

“…Para isso, desenvolveu-se um estudo descritivo-interpretativo, a partir da base online Internet Movie Database (IMDb). Na base de dados, os títulos “Better Half” da série House M.D. e “The Laws of Gods and Men” de Game of Thrones foram identificados como potencializadores da discussão da assexualidade. …”
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Cinéma et lien : une enquête intime auprès d'une famille italienne en Lorraine by Marion Froger, Émilie Tullio

“…Moreover, it can make one relive emotions one may have once felt in the past or still feels, and makes it possible to share them with others – especially with the ones we cherish – and experience a kind of mute understanding while watching a movie with them.…”
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Enhancing Sentiment Analysis and Rating Prediction Using the Review Text Granularity (RTG) Model by Rajesh Garapati, Manomita Chakraborty

“…A detailed study using a real-world dataset of IMDb movie reviews demonstrated this. The study emphasizes the benefits of utilizing intricate sentiment scores in addition to conventional rating data. …”
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Optical semantic communication through multimode fiber: from symbol transmission to sentiment analysis by Zheng Gao, Ting Jiang, Mingming Zhang, Hao Wu, Ming Tang

“…Additionally, we explore the application of this system for sentiment analysis using the IMDb movie review dataset. By encoding semantically similar symbols to adjacent frequencies, the system’s noise tolerance is effectively improved, facilitating accurate sentiment analysis. …”
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Curved characteristics best suited for Growth rates, Relative strength and Performance Time of female Olympic weightlifters by Khaled Ebada

“…Were analyzed video film, which was filmed for female lifters knowledge of the technical Committee of the International weightlifting Federation during the Olympic Games in London 2012. The movie was filmed with a video camera at 25 frames/second that is an attempt to analyze the best female lifters to determine for the performance time phases Snatch and Clean amp; Jerk and using the program Kinovea Version 0.8.15 of kinetic analysis. …”
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A Recommendation Model Using the Bandwagon Effect for E-Marketing Purposes in IoT by Sang-Min Choi, Hyein Lee, Yo-Sub Han, Ka Lok Man, Woon Kian Chong

“…We first consider the bandwagon effects in movie recommendation domain and show its usefulness for the IoT. …”
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Social Attitudes toward Cerebral Palsy and Potential Uses in Medical Education Based on the Analysis of Motion Pictures by Marek Jóźwiak, Brian Po-Jung Chen, Bartosz Musielak, Jacek Fabiszak, Andrzej Grzegorzewski

“…The geographical distribution of movie number ever produced is as follows: North America 12, Europe 11, India 2, East Asia 6, and Australia 3. …”
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The cognitive critical brain: Modulation of criticality in perception-related cortical regions by Xingyu Liu, Xiaotian Fei, Jia Liu

“…Importantly, we observed heterogeneous changes in criticality across cortical subsystems during a naturalistic movie-watching task, with visual and auditory regions fine-tuned closer to criticality. …”
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Performance Assessment of Multiple Classifiers Based on Ensemble Feature Selection Scheme for Sentiment Analysis by Monalisa Ghosh, Goutam Sanyal

“…The proposed methods are evaluated on the basis of three standard datasets, namely, IMDb movie review and electronics and kitchen product review dataset. …”
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