With the popularity of mobile devices and the quick growth of the mobile Web, users can
now browse news wherever they want; so, their news preferences are usually related to their …

The interest of users in handheld devices is strongly related to their location. Therefore, the
user location is important, as a user context, for news article recommendation in a mobile …

Text classification typically performs best with large training sets, but short texts are very
common on the World Wide Web. Can we use resampling and data augmentation to …

Characteristics of a point-of-interest (POI) can be discovered by mining geo-tagged textual
data from social media around the POI. However, the relevance of the data to the POI varies …

Nowadays, microblogging platforms such as Twitter and Weibo can also be seen as a good
media to present reviews about topics. More and more people tend to share their thoughts …

Mobile recommender systems can improve the speed at which information is passed to a
user by taking advantage of the user's context to provide relevant data. In addition, social …

Traditional query-based search engines such as Google are often not able to discover real-
time, contextual information such as traffic accidents or severe weather situations. As an …