Abstract Many Big Data technologies were built to enable the processing of human
generated data, setting aside the enormous amount of data generated from Machine-to …

Abstract Undoubtedly, coronavirus (COVID-19) has caused one of the biggest challenges of
all times. The ongoing COVID-19 pandemic has caused more than 150 million infected …

Understanding user preference on item context is the key to acquire a high-quality
multimedia recommendation. Typically, the pre-existing features of items are derived from …

Telegram is a new Instant Messaging application providing key features for both public and
private messaging. Telegram is similar to group broadcast or micro-blogging platforms …

One important task in the study of information cascade is to predict the future recipients of a
message given its past spreading trajectory. While the network structure serves as the …

In the era of data information explosion, there are different observations on an object (eg, the
height of the Himalayas) from different sources on the web, social sensing, crowd sensing …

Detecting events from massive social media data in social networks can facilitate browsing,
search, and monitoring of real-time events by corporations, governments, and users. The …

Organizations, companies and start-ups need to cope with constant changes on the market
which are difficult to predict. Therefore, the development of new systems to detect significant …

Image-Text Matching (ITM) aims to establish the correspondence between images and
sentences. ITM is fundamental to various vision and language understanding tasks …

The abundance and real-time availability of Twitter data have proved beneficial in detecting
events in various domains such as emergency situations, crime detection, public health …