The recent developments of internet technology have created premium space for
recommender system (RS) to help users in their daily life. An effective personalized …

Recommender systems are used to provide filtered information from a large amount of
elements. They provide personalized recommendations on products or services to users …

Personalized recommender systems have become indispensable in today's online world.
Most of today's recommendation algorithms are data-driven and based on behavioral data …

SigTur/E-Destination is a Web-based system that provides personalized recommendations
of touristic activities in the region of Tarragona. The activities are properly classified and …

The importance of recommendation systems for business applications has led to extensive
research efforts to improve the recommendations accuracy as well as to reduce the sparsity …

Recommender systems evaluate and filter the vast amount of information available on the
Web, so they can be used to assist users in the process of accessing to relevant information …

Nowadays, the increasing number of smart objects and devices which are connected to the
Internet leads to the introduction of numerous IoT services. However, due to the overloading …

Matrix-Factorization (MF) is an accurate and scalable approach for collaborative filtering
(CF)-based recommender systems. The performance of matrix MF methods depends on how …

Conversational recommender system is a tool to help customer in deciding products they
are going to buy, by conversational mechanism. By this mechanism, the system is able to …

Matters do not always unfold as expected on projects. Actions taken by stakeholders are not
always realistic, and certain processes can appear chaotic. An ocean of information hits …