In this article, we describe a hybrid recommender system (RS) in the artistic and cultural
heritage area, which takes into account the activities on social media performed by the target …

Itinerary planning is a challenging task for users wishing to enjoy points of interest (POIs) in
line with their preferences, the current context of use, and travel constraints. This article …

Location-based services (LBSs) are part of our daily lives due to the huge spread of mobile
devices. Such services enable us to access relevant and up-to-date information about our …

In this paper, we propose an approach based on the integration of a chatbot module, a
location-based service, and a recommendation algorithm. This approach has been …

Tourists spend a lot of effort in planning itineraries when organizing a trip. This is a complex
activity that involves selecting the places to visit and dealing with a number of temporal …

One of the major problems facing our cities is the disposal of the huge amount of waste
produced every day. A possible solution is represented by recycling. In this article, we …

In this paper, we propose a system for extracting, storing, and analyzing the data provided
by three well-known and widespread services available online. More specifically, the system …

Recommender systems (RSs) represent one of the manifold applications in which Machine
Learning can unfold its potential. Nowadays, most of the major online sites selling products …

This paper proposes our designed system to estimate the optimal social networking
connections for people with mood disorders, such as depression. We collected data from …