Recommender systems have been widely applied to several domains and applications to
assist decision making by recommending items tailored to user preferences. One of the …

Recommender systems have become essential in modern information systems and Internet
applications by delivering personalized and pertinent content to users. While conventional …

Most existing recommendation systems (RSs) are primarily concerned about the accuracy of
rating prediction and only recommending popular items. However, other non-accuracy …

Bio-inspired design (BID) approaches have provided numerous novel proposals for
innovative design. Meanwhile, it resulted in an explosion of alternatives. Choosing a small …

Multi-objective immunization algorithms have received wide attention in solving multi-
objective optimization problems. However, most multi-objective immune algorithms use …

Mandarine Academy is an Ed-tech company that supports the digital transformation of work
environments by facilitating the handling and use of new technologies by all employees. It …

Recommendation systems are widely used in e-commerce setting to help users find the
most relevant items. However, what is relevant for a user changes dynamically. For next-item …

Recommender systems are beneficial in suggesting items to users by knowing their
preferences and, therefore, effectively managing the vast amount of available information …

This thesis addresses two distinct problems: Professional Timetabling and Recommender
Systems. Both issues take place at Mandarine Academy, a french educational technology …

O constante aumento de dados disponíveis gerou a necessidade de Sistemas de
Recomendação capazes de filtrar informações relevantes aos usuários. No entanto, a …