Derived from the idea of word-to-mouth advertising and with applying information diffusion
theory, viral marketing attracts wide research interests because of its business value. As an …

Emotion analysis has been attracting researchers' attention. Most previous works in the
artificial-intelligence field focus on recognizing emotion rather than mining the reason why …

In this paper, we study the problem of dynamic user profiling in Twitter. We address the
problem by proposing a dynamic user and word embedding model (DUWE), a scalable …

Modeling feature interactions is of crucial importance to predict click-through rate (CTR) in
industrial recommender systems. However, manually crafting cross features usually requires …

Social metaverse with VR has been viewed as a paradigm shift for social media. However,
most traditional VR social platforms ignore emerging characteristics in a metaverse, thereby …

Hashtag recommendation for microblogs is a very hot research topic that is useful to many
applications involving microblogs. However, since short text in microblogs and low utilization …

Clustering short text streams is a challenging task due to its unique properties: infinite
length, sparse data representation and cluster evolution. Existing approaches often exploit …

In this article, we study the task of user profiling in question answering communities (QACs).
Previous user profiling algorithms suffer from a number of defects: they regard users and …

Given the social network short text native sparsity, semantic inference becomes an
infeasible task for conventional topic models. By exploiting the spatial and temporal …

We aim at summarizing answers in community question-answering (CQA). While most
previous work focuses on factoid question-answering, we focus on the non-factoid question …