Conversational recommender systems (CRS) have become popular in recent years and
have gained the attention of researchers. More emphasis is given to user choices and …

Recommender systems are embracing conversational technologies to obtain user
preferences dynamically, and to overcome inherent limitations of their static models. A …

Under the digital transformation era, technologies such as Cyber-physical systems, the
Internet of things, and Artificial Intelligence are increasingly mature, making it possible to …

The exponentially growing digitisation of services that drive the transition from industry 4.0 to
industry 5.0 has resulted in a rising materials demand for ICT hardware manufacturing. The …

The recommender system (RS) improves the users' experience when searching for and
buying items by providing recommendations. This paper presents a new hybrid RS called …

The growth of the Internet has increased the amount of data and information available to any
person at any time. Recommendation Systems help users find the items that meet their …

Traveling is one of the human psychological needs. Many choices and lack of information
about desired tourist attractions are some of the obstacles in fulfilling the need. One of the …

Big data visual exploration is believed to be considered as a recommendation problem. This
proximity concerns essentially their purpose: it consists in selecting among huge amount of …

Today's lifestyle and eating patterns tend to be irregular due to busyness. People prefer
eating foods that are fast and easy to obtain, but often lack knowledge of the nutritional …

Inactive lifestyles and unhealthy diets are often the result of people's busy lives. because of
these bad habits, many people are underweight. diet and lack of physical activity are factors …