Where previous reviews on content-based image retrieval emphasize what can be seen in
an image to bridge the semantic gap, this survey considers what people tag about an image …

Continuous-time Markov Chains (CTMCs) are an important class of stochastic models that
have been used to model and analyze a variety of practical systems. In this paper we …

In this paper we propose a method that can enhance the social popularity of a post (ie, the
number of views or likes) by recommending appropriate hash tags considering both content …

Social network analysis (SNA) investigates the connections and relationships between
people or groups within a social network. Understanding these networks' structure and …

Folksonomies have become very popular as means to organize large sets of resources
shared over the Social Web. The bottom-up nature of folksonomies has proved to be an …

Purpose The purpose of this paper is to use ideas drawn from two founders of American
pragmatism, William James and Charles Sanders Peirce, in order to propose a …

Social tagging systems (STSs) allow collaborative users to share and annotate many types
of resources with descriptive and semantically meaningful information in freely chosen text …

The data analysis is closely related to data attribute dimension. The traditional extraction
and partition of data attribute dimension is so manual and inefficiency as to not meet the …

Many researchers have used tag information to improve the performance of
recommendation techniques in recommender systems. Examining the tags of users will help …

For more than a decade, researchers have been proposing various methods and techniques
to mine social tagging data and to learn structured knowledge. It is essential to conduct a …