The prompt progression of web data and the number of web visitors creates a latent
information overload problem and complicates data mining to select the right items on the …

With the rapid growth of internet data, knowledge graphs (KGs) are considered as efficient
form of knowledge representation that captures the semantics of web objects. In recent …

In multi-principal-agent alignment scenarios spanning governance, markets, diplomacy, and
AI, it is infeasible to elicit every principal's view on all perspectives relevant to agent …

Matrix Factorization (MF) is one of the most successful Collaborative Filtering (CF)
techniques used in recommender systems due to its effectiveness and ability to deal with …

The design of a heterogeneous sensor tier for the generic, multi-service, cloud-based, IoT
operational platform EMULSION is presented in this paper, along with typical hardware …

Recommender systems are one of the most used tools for knowledge discovery in
databases, and they have become extremely popular in recent years. These systems have …

This paper presents some design aspects of the EMULSION IoT platform, developed as a
typical example of the horizontal IoT platforms. The architectural overview and multi-tiered …

The explosion of Internet and the boom of social media have led to many organizations in
successfully collecting huge amount of data about its' customers. These data are one of the …

This paper presents an intelligent system for recommendation of services to mobile users
(consumers) by considering the current context. The system builds up and dynamically …