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 …
Z Zhu, S Wang, F Wang, Z Tu - Expert Systems with Applications, 2022 - Elsevier
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 …
X Yang, L Zhang, Z Feng - Journal of Travel Research, 2024 - journals.sagepub.com
Previous research indicates that personalized tourism recommendation (PTR) is becoming increasingly important in tourism marketing. However, many areas of PTR remain …
S Zad, M Heidari, P Hajibabaee… - 2021 IEEE 12th …, 2021 - ieeexplore.ieee.org
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 …