Promoting recommender systems in real-world applications requires deep investigations
with emphasis on their next generation. This survey offers a comprehensive and systematic …

Automated social text annotation is the task of suggesting a set of tags for shared documents
on social media platforms. The automated annotation process can reduce users' cognitive …

This paper sets out to explore whether data about the usage of hashtags on Twitter contains
information about their semantics. Towards that end, we perform initial statistical hypothesis …

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 article, the authors present a novel approach for computing semantic relatedness and
conduct a large-scale study of it on Wikipedia. Unlike existing semantic analysis methods …

The availability of social tags has greatly enhanced access to information. Tag clouds have
emerged as a new" social" way to find and visualize information, providing both one-click …

Decentralized search in networks is an activity that is often performed in online tasks. It
refers to situations where a user has no global knowledge of a network's topology, but only …

The need to examine the behavior of different user groups is a fundamental requirement
when building information systems. In this paper, we present Ontology-based Decentralized …

There has been considerable interest in transforming unstructured social tagging data into
structured knowledge for semantic-based retrieval and recommendation. Research in this …

Novel social media collaboration platforms, such as games with a purpose and mechanised
labour marketplaces, are increasingly used for enlisting large populations of non-experts in …