With the increasing abundance of information resources and the development of deep
learning techniques, recommender systems (RSs) based on deep learning have gradually …

The challenge of managing and extracting useful knowledge from social media data sources
has attracted much attention from academics and industry. To address this challenge …

The term" big data" has recently gained widespread attention in the field of information
technology (IT). One of the key challenges in making use of big data lies in finding ways to …

Digital marketing is a domain where data analytics are a key factor to gaining competitive
advantage and return of investment for companies running and monetizing digital marketing …

Nowadays, ontologies, which are defined under the OWL 2 Web Ontology Language (OWL
2), are being used in several fields like artificial intelligence, knowledge engineering, and …

Advent of technologies like semantic web, multi-agent systems, web mining has changed
the internet as knowledge provider. Web personalization offers a solution to the information …

The efficient processing of document streams plays an important role in many information
filtering systems. Emerging applications, such as news update filtering and social network …

In online advertising, it is essential to show appropriate ads to target users. However, this is
a challenging process. Although conventional targeting methods yield successful results …

This thesis presents several state-of-the-art approaches constructed for the purpose of (i)
studying the trustworthiness of users in Online Social Network platforms,(ii) deriving …

Abstract Information overload has become a very important aspect of information retrieval
domain. Even if a user knows where to look for interesting information, he can have a …