Recommender system (RS) has emerged as a major research interest that aims to help
users to find items online by providing suggestions that closely match their interest. This …

Purpose Social media influencers (SMIs) are becoming a powerful force within the
marketing and branding landscape, with several leading brands opting to use SMI …

Along with the increasing requirements, the hashtag recommendation task for microblogs
has been receiving considerable attention in recent years. Various researchers have studied …

Despite recent successes of deep learning in many fields of natural language processing,
previous studies of emotion recognition on Twitter mainly focused on the use of lexicons and …

Social media continues to change how advocacy organizations mobilize, educate, and
connect with their constituents. One of the most unique yet understudied tools available on …

In microblogging services, users usually use hashtags to mark keywords or topics. Along
with the fast growing of social network, the task of automatically recommending hashtags …

Since the introduction of microblogging services, there has been a continuous growth of
short-text social networking on the Internet. With the generation of large amounts of …

Federated learning (FL) is very appealing for its privacy benefits: essentially, a global model
is trained with updates computed on mobile devices while kee** the data of users local …

With wide use of cloud computing technologies, microblog is used more widely for services
providing more personal communities by user information sharing, dissemination and …

Hashtag recommendation suggests hashtags to users while they write microblogs in social
media platforms. Although researchers have investigated various methods and factors that …