Collaborative filtering has been most widely used in commercial sites to recommend items based on the history of user preferences for items. The idea behind this method is to find similar users whose ratings for items are incorporated to make recommendation. Hence, similarity calculation is most critical in recommendation performance. For movie recommendation, this paper enhances performance of...

Video games are part of our culture like TV, movies and books. Video games with other goals than entertainment are called: Serious Games. We believe this kind of software can be used to increase students’ interest in computer science. This paper presents a study around a serious game dedicated to strengthening programming skills. Real-Time Strategy game, which is a popular game genre, seems to ...

This project explores several Machine Learning methods to predict movie genres based on plot summaries. Naive Bayes, Word2Vec+XGBoost and Recurrent Neural Networks are used for text classification, while K-binary transformation, rank method and probabilistic classification with learned probability threshold are employed for the multi-label problem involved in the genre tagging task. Experiments...

Part 2’s focus on empirical research—research into how genres are learned, how they function in particular contexts, and how they carry out communicative goals and reflect/reinforce ideologies—illustrates how research can inform our practices as writing teachers. Research into genre learning and acquisition has provided teachers with useful methods for situating learning and for fostering meta-...

This study was an attempt to identify the interlingual strategies employed to translate English subtitles into Persian and to determine their frequency, as well. Contrary to many countries, subtitling is a new field in Iran. The study, a corpus-based, comparative, descriptive, non-judgmental analysis of an English-Persian parallel corpus, comprised English audio scripts of five movies of differ...

this study was an attempt to identify the interlingual strategies employed to translate english subtitles into persian and to determine their frequency, as well. contrary to many countries, subtitling is a new field in iran. the study, a corpus-based, comparative, descriptive, non-judgmental analysis of an english-persian parallel corpus, comprised english audio scripts of five movies of differ...

The movie genre "snuff" appeared in the late 70s and shows the allegedly real, often cruel killing of people. More recently, a growing number of short video clips have been distributed via the internet, which also belong into this category and were clearly recognized as fictional on the basis of technical details by two study groups at the 80th Annual Meeting of the German Society of Legal Medi...

Major studios and independent production firms (Indies) often have to select or “greenlight” a portfolio of scripts to turn into movies. Despite the huge financial risk at stake, there is currently no risk management tool they can use to aid their decisions, even though such a tool is sorely needed. In this paper, we developed a forecasting and risk management tool, based on movies scripts, to ...

We propose an audio-visual approach to video genre classification using content descriptors that exploit audio, color, temporal, and contour information. Audio information is extracted at blocklevel, which has the advantage of capturing local temporal information. At the temporal structure level, we consider action content in relation to human perception. Color perception is quantified using st...

This paper provides an overview of the AcousticBrainz Genre Task organized as part of theMediaEval 2017 Benchmarking Initiative for Multimedia Evaluation. The task is focused on content-based music genre recognition using genre annotations from multiple sources and large-scale music features data available in the AcousticBrainz database. The goal of our task is to explore how the same music pie...