This paper reviews the research trends that link the advanced technical aspects of
recommendation systems that are used in various service areas and the business aspects of …

Obviously, the Covid-19 pandemic has huge impact on most businesses and has caused
serious and countless problems for them. Therefore, providing solutions for affected …

Extant studies have focused on the sales benefits of product recommendation networks;
however, the competition effects of such networks have been overlooked. Understanding the …

Today, exploiting sentiment analysis has become popular in designing recommender
systems in various fields, including the restaurant and food area. However, most of the …

Huge amounts of multimodal content and comments in a mixture form of text, image, and
emoji are continuously shared by users on various social networks. Most of the comments of …

In recent years, there has been a significant increase in the utilization of Tourism
Recommendation Systems (TRS) to enhance tourist satisfaction. However, planning a trip …

Our research strives to examine how simulation models of logistics systems can be
produced automatically from verbal descriptions in natural language and how human …

Identifying user preferences is a complex operation, which makes its automa-tion
challenging, and existing recommendation systems that rely on one of the parameters …

Previous research indicates that personalized tourism recommendation (PTR) is becoming
increasingly important in tourism marketing. However, many areas of PTR remain …

Semantics is a research field that has gained an extensive interest recently. This survey
describes recent works in the field of semantics, a part of the broader area of computational …