With the rapid adoption of online shopping, academic research in the eCommerce domain has gained traction. However, significant research challenges remain, spanning from classic …
Use of socially generated “big data” to access information about collective states of the minds in human societies has become a new paradigm in the emerging field of …
A Tatar, MD De Amorim, S Fdida… - Journal of Internet Services …, 2014 - Springer
Social media platforms have democratized the process of web content creation allowing mere consumers to become creators and distributors of content. But this has also contributed …
Purpose–The purpose of this paper is to consolidate existing knowledge and provide a deeper understanding of the use of social media (SM) data for predictions in various areas …
Digital journalism has faced a dramatic change and media companies are challenged to use data science algorithms to be more competitive in a Big Data era. While this is a relatively …
T Trzciński, P Rokita - IEEE Transactions on Multimedia, 2017 - ieeexplore.ieee.org
In this work, we propose a regression method to predict the popularity of an online video measured by its number of views. Our method uses Support Vector Regression with …
Content popularity prediction finds application in many areas, including media advertising, content caching, movie revenue estimation, traffic management and macro-economic trends …
The Web has become the main source for news acquisition. At the same time, news discussion has become more social: users can post comments on news articles or discuss …
A Oghina, M Breuss, M Tsagkias, M De Rijke - Advances in Information …, 2012 - Springer
We predict IMDb movie ratings and consider two sets of features: surface and textual features. For the latter, we assume that no social media signal is isolated and use data from …