social commerce, a new stream in e-commerce, enables hyper-informed consumers to support the businesses in new product development. hyper-informed consumers are the results of online communication provided by social media. these consumers have been empowered by web 2.0 technologies to have online communication, which drives value for the companies in new product development. trust is one the va...

Web 3.0 is the upcoming phase in web evolution. Web 3.0 will be about “feeding you the information that you want, when you want it” i.e. personalization of the web. In web 3.0 the basic principle is linking, integrating and analyzing data from various data sources into new information streams by means of semantic technology. So, we can say that Web 3.0 comprises of two platforms semantic techno...

In this article, social media in the academic context is summarized, differences between social media usage patterns in China and the United States are contrasted, Research methods are described and final results are presented. Our specific contribution is to clearly delineate the unique social media ecosystem as found in Mainland China and its subsequent impact on social media as applied to ac...

Many people have social media connections with co-workers. An important question that arises is how such connections impact important organizational factors. This study begins to look at such impact by examining how a user's total number of co-worker social media connections and the percentage of total social media connections that are co-workers impacts perceptions of organizational support an...

This paper describes the algorithm submitted by the authors to the Audio Genre Classification Contest organised in the context of the 2005 Music Information Retrieval Evaluation eXchange (MIREX 2005). The proposed algorithm parameterizes audio content by extracting 3 sets of features describing 3 different dimensions of music: timbre, energy and rhythm. Once features extracted, a mixture of Sup...

We present a technique for genre-independent scene-change detection using audio and video features in a discriminative support vector machines (SVM) framework. This work builds on our previous work by adding a video feature based on the MPEG-7 ”scalable color” descriptor. Adding this feature imporoves our detection rate over all genres by 5% to 15% for a fixed false positive rate of 10%. We als...

Searching and organizing growing digital music collections requires automatic classification of music. Our system for artist and genre identification uses support vector machines to classify songs based on features calculated over their entire lengths. Since support vector machines are exemplar-based classifiers, training on and classifying entire songs instead of short-time features makes intu...

In recent years there has been a dramatic increase in the demand for timely, comprehensive global agricultural intelligence. Timely information on global crop production is indispensable for combating the growing stress on the world’s crop production and for securing both short-term and long-term stable and reliable supply of food. Global agriculture monitoring systems are critical to providing...

This paper describes the use of a decision-based fusion framework to infer emotion from audiovisual feeds, and investigates the effect of noise on the fusion system. Facial expression features are constructed from linear binary patterns, and are processed independently of the prosodic features. A linear support vector machine is used for the fusion of the two channels. The results show that the...