In the ESP tradition, genre is often defined as “structured communicative events engaged in by specific discourse communities whose members share broad communicative purposes.” ESP genre research has generated numerous descriptions and explanations of discipline-specific genre exemplars and has produced various pedagogical proposals. However, what learners learn from these genre descriptions an...

This paper examines the determinants of foreign box office revenue for English language movies. The sample consists of 449 films released during 2006-2008. Regression results indicate the primary determinants of foreign box office revenue for English language movies are U.S. domestic box office revenue, action movies, children’s movies, sequels, Academy Award wins, and production budget. Specif...

We investigate the uses and limitations of MFCC analysis for feature extraction from music files in the domain of genre recognition. Intra-genre and Inter-genre classification is explored. We implement a method of genre classification based on MFCC extraction, K-means clustering, and KNN analysis. We demonstrate the efficacy of our method through testing, yielding a 99% accuracy rate.

This paper contributes to a facet from the area of Web Information Retrieval that has recently received much attention: The satisfaction of a user’s personal information need with respect to text type, presentation type, or information quality. We imply that such properties can be quantified for all kinds of Web documents, and we subsume them under the term “Web genre” or “genre”. Recent survey...

Existing systems for automatic genre classification follows a supervised framework that extracts genre-specific information from manually-labeled music data and then identifies unknown music data. However, such systems may not be suitable for personal music management, because manually labeling music based on individually-defined genres can be labor intensive and subject to inconsistence from t...

In this paper we would like to contribute to the discussion about genre-enabled applications, currently engaging many genre researchers, by presenting a preliminary assessment of a web add-on devised to augment the result list of general-purpose search engines with genre labels. For this assessment, we use a small collection of web pages manually annotated with genre labels by a large number of...

In this paper, we propose an implementable characterization of genre suitable for automatic genre identification of web pages. This characterization is implemented as an inferential model based on a modified version of Bayes’ theorem. Such a model can deal with genre hybridism and individualization, two important forces behind genre evolution. Results show that this approach is effective and is...

This paper proposes a personal learning assistant called LORAMS (Link of RFID and Movies System), which supports the learners with a system to share and reuse learning experience by linking movies and environmental objects. These movies are not only kind of classes’ experiments but also daily experiences movies. Therefore, you can share these movies with other people. LORAMS can infer some cont...