Recommendation systems have overcome the overload of irrelevant information by
considering users' preferences and emotional states in the fields of tourism, health, e …

By advancement in digital marketing, business-to-business (B2B) buyers carry out over half
of the buying process through digital touchpoints before they establish any significant …

Point-of-Interest (POI) recommendation is one of the most popular recommendation
methodologies. However, POI data is very sensitive and sparse. Users' reluctance to share …

Cultural Heritage Institutions fueled by the advances in Information Technology are
exploiting new ways to present their content to visitors. The emergence of the Internet of …

In this paper, we describe our research activities for integrating the recommendation process
of nearby points of artistic and cultural interest (POIs) with related multimedia content. The …

In this paper, we present the rationale and the ideas behind META4RS, a museum itinerary
recommender system. The system leverages deep learning techniques to acquire data …

Abstract Business-to-business (B2B) sellers need to enhance content marketing and
analytics in an online environment. The challenge is that sellers have data but do not know …

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 …

This article describes a recommender system (RS) in the cultural heritage area, which takes
into account the activities on social media performed by the target user and her friends. For …

Sensor networks are widely used for heterogeneous applications in diverse domains. One
sensor network may provide data for applications and services that often have different or …