Any automatic music genre recognition (MGR) system must show its value in tests against a ground truth dataset. Recently, the public dataset most often used for this purpose has been proven problematic, because of mislabeling, duplications, and its relatively small size. Another dataset, the Million Song Dataset (MSD), a collection of features and metadata for one million tracks, unfortunately ...

Genre is an important feature for organizing and accessing video games. However, current descriptors of video game genres are unstandardized, undefined, and embedded with multiple information dimensions. This paper describes the development of a more complex and sophisticated scheme consisting of 12 facets and 358 foci for describing and representing video game genre information. Using facet an...

T paper studies the problem of purchasing and allocating copies of movies to multiple stores of a movie rental chain. A unique characteristic of this problem is the return process of rented movies. We formulate this problem for new movies as a newsvendor-like problem with multiple rental opportunities for each copy. We provide demand and return forecasts at the store-day level based on comparab...

A data-integration system provides a uniform interface to a multitude of data sources. Consider a data-integration system providing information about movies from data sources on the World Wide Web. There are numerous sources on the Web concerning movies, such as the Internet Movie Database (which provides comprehensive listings of movies, their casts, directors, genres, and so forth), MovieLink...

Recommendation systems are widely used in e-commerce companies like Amazon and Netflix to help users discover items that might interest them. Due to their wide applicability, recommendation systems have become an area of active research. We do a comparative study on the different algorithms used to do recommendation popularly and build a hybrid model out of them. Introduction Various algorithms...

Current document retrieval tools succeed in locating large numbers of documents relevant to a given query. While search results may be relevant according to the topic of the documents, it is more difficult to identify which of the relevant documents are most suitable for a particular user. Automatic genre analysis that is, the ability to distinguish documents according to style would be a usefu...

background: scenes depicting smoking are among the causes of smoking initiation in youth. the present study was the first in iran to collect some primary information regarding the presence of smoking scenes in movies and propagation of tobacco use. methods: this cross-sectional study was conducted by polling audience about smoking scenes in persian movies on theaters in 2011. data were collecte...

This paper presents the results of two studies that consider the effects of various pedagogical approaches in professional writing classes. The findings indicate that both a moves analysis approach and a chronotopic approach lead to cover letters that have significant lexico-grammatical differences from those written under a nongenre analysis approach. The findings also indicate that cover lett...

their helpful comments on earlier versions of the manuscript. 3 Changes in consumers' category width (the level of coarseness-fineness with which people categorize objects) alter their decision making processes, which in turn alter their categorizing and purchasing behavior. Participants manipulated to be broad categorizers base their decisions on fewer, highly salient dimensions. In contrast, ...

We explore the integration of multiple factors such as genre and speaker gender for acoustic model adaptation tasks to improve Mandarin ASR system performance on broadcast news and broadcast conversation audio. We investigate the use of multifactor clustering of acoustic model training data and the application of MPE-MAP and fMPE-MAP acoustic model adaptations. We found that by effectively comb...