As the World Wide Web continues to grow exponentially, researchers and search engine companies continue to look for techniques that will improve the quality of search results. One method that has been suggested is to classify Web pages by their type of genre and use this information to focus a search more narrowly or to rank search results. However, the growth of the World Wide Web has been mat...

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...

This report describes classification methods that recognize the genres of music using both supervised and unsupervised learning techniques. The five genres, classical(C), EDM(E), hip-hop(H), jazz(J) and rock(R), were examined and classified. As a feature selection method, discrete Fourier transform (DFT) converted the raw wave signals of each song into the signal amplitude ordered by their freq...

When using the term “complex, multi-genre networks” we refer to networks that combine several distinct genres – networks of physical resources, communication networks, information networks, and social and cognitive networks. As illustrated in Fig. 1, a complex network may utilize a physical resource network (e.g., a sensor network to measure and report on phenomena of interest), to store inform...

The recent progress of Electronic Music Distribution creates a natural pressure for fine-grained musical metadata. This metadata is needed to provide music distribution services which are able to cope with the mere size of music catalogues, and the desire of users to access music titles by similarity. In this context, we describe a project of a global music title metadatabase, and focus in the ...

We propose the use of fine-grained part-of-speech (POS) tags as discriminatory attributes for automatic genre classification and report empirical results from an experiment that indicate substantial accuracy gain by such features over the conventional bag-of-words approach through word unigrams. In particular, this paper reports our research to investigate the performance of a fine-grained tag ...

Critical Social Theory has been regarded as an alternative approach to information systems development in the era of ubiquitous information technologies and extensive applications. However, critical theorists have so far clarified few fundamental concepts to be actually discussed, planned and implemented in practical development initiatives to constitute a proper systems development approach. T...

Categorizing music files according to their genre is a challenging task in the area of music information retrieval (MIR). In this study, we compare the performance of two classes of models. The first is a deep learning approach wherein a CNN model is trained end-to-end, to predict the genre label of an audio signal, solely using its spectrogram. The second approach utilizes hand-crafted feature...

Automatic classification of music genre is widely studied topic in music information retrieval (MIR) as it is an efficient method to structure and organize the large numbers of music files available on the Internet. Generally, the genre classification process of music has two main steps: feature extraction and classification. The first step obtains audio signal information, while the second one...